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1,062 | sim | https://github.com/netket/netket | [] | null | [] | [] | null | null | null | netket/netket | netket | 473 | 164 | 24 | Python | https://www.netket.org | Machine learning algorithms for many-body quantum systems | netket | 2024-01-13 | 2018-04-23 | 301 | 1.570683 | https://avatars.githubusercontent.com/u/38641916?v=4 | Machine learning algorithms for many-body quantum systems | ['complex-neural-network', 'deep-learning', 'exact-diagonalization', 'hamiltonian', 'jax', 'machine-learning', 'machine-learning-algorithms', 'markov-chain-monte-carlo', 'monte-carlo-methods', 'neural-networks', 'physics-simulation', 'quantum', 'quantum-state-tomography', 'unitaryhack', 'variational-method', 'variation... | ['complex-neural-network', 'deep-learning', 'exact-diagonalization', 'hamiltonian', 'jax', 'machine-learning', 'machine-learning-algorithms', 'markov-chain-monte-carlo', 'monte-carlo-methods', 'neural-networks', 'physics-simulation', 'quantum', 'quantum-state-tomography', 'unitaryhack', 'variational-method', 'variation... | 2024-01-12 | [('jackhidary/quantumcomputingbook', 0.626657247543335, 'study', 1), ('quantumlib/cirq', 0.5286350250244141, 'sim', 0), ('qiskit/qiskit', 0.5100851058959961, 'sim', 1)] | 63 | 5 | null | 3.75 | 121 | 80 | 70 | 0 | 8 | 10 | 8 | 121 | 226 | 90 | 1.9 | 41 |
1,753 | ml | https://github.com/deepgraphlearning/ultra | ['reasoning', 'knowledge-graph'] | null | [] | [] | null | null | null | deepgraphlearning/ultra | ULTRA | 238 | 31 | 5 | Python | null | A foundation model for knowledge graph reasoning | deepgraphlearning | 2024-01-12 | 2023-10-23 | 14 | 16.828283 | https://avatars.githubusercontent.com/u/38018154?v=4 | A foundation model for knowledge graph reasoning | [] | ['knowledge-graph', 'reasoning'] | 2024-01-13 | [('awslabs/dgl-ke', 0.5505498647689819, 'ml', 1), ('dylanhogg/llmgraph', 0.5485401749610901, 'ml', 1), ('accenture/ampligraph', 0.5169753432273865, 'data', 1), ('zjunlp/deepke', 0.5096688270568848, 'ml', 1)] | 4 | 3 | null | 0.21 | 11 | 10 | 3 | 0 | 0 | 0 | 0 | 11 | 25 | 90 | 2.3 | 41 |
1,655 | llm | https://github.com/langchain-ai/langsmith-sdk | [] | null | [] | [] | null | null | null | langchain-ai/langsmith-sdk | langsmith-sdk | 224 | 25 | 5 | Python | https://smith.langchain.com/ | LangSmith Client SDK Implementations | langchain-ai | 2024-01-11 | 2023-05-30 | 35 | 6.4 | https://avatars.githubusercontent.com/u/126733545?v=4 | LangSmith Client SDK Implementations | ['evaluation', 'language-model', 'observability'] | ['evaluation', 'language-model', 'observability'] | 2024-01-13 | [('langchain-ai/langsmith-cookbook', 0.6326169371604919, 'llm', 2), ('anthropics/anthropic-sdk-python', 0.5629613995552063, 'util', 1), ('gkamradt/langchain-tutorials', 0.5348765254020691, 'study', 0), ('langchain-ai/langgraph', 0.5179738998413086, 'llm', 0), ('alphasecio/langchain-examples', 0.5165998935699463, 'llm',... | 15 | 2 | null | 5.94 | 116 | 108 | 8 | 0 | 70 | 126 | 70 | 116 | 92 | 90 | 0.8 | 41 |
1,059 | study | https://github.com/shangtongzhang/reinforcement-learning-an-introduction | [] | null | [] | [] | null | null | null | shangtongzhang/reinforcement-learning-an-introduction | reinforcement-learning-an-introduction | 12,960 | 4,791 | 565 | Python | null | Python Implementation of Reinforcement Learning: An Introduction | shangtongzhang | 2024-01-13 | 2016-09-13 | 385 | 33.662338 | null | Python Implementation of Reinforcement Learning: An Introduction | ['artificial-intelligence', 'reinforcement-learning'] | ['artificial-intelligence', 'reinforcement-learning'] | 2022-05-10 | [('deepmind/acme', 0.6519054770469666, 'ml-rl', 1), ('pytorch/rl', 0.6356885433197021, 'ml-rl', 1), ('openai/gym', 0.6223573088645935, 'ml-rl', 1), ('artemyk/dynpy', 0.583624005317688, 'sim', 0), ('thu-ml/tianshou', 0.5635957717895508, 'ml-rl', 0), ('scikit-learn/scikit-learn', 0.5567522644996643, 'ml', 0), ('humancomp... | 33 | 3 | null | 0 | 0 | 0 | 89 | 20 | 0 | 0 | 0 | 0 | 0 | 90 | 0 | 40 |
246 | util | https://github.com/jorgebastida/awslogs | [] | null | [] | [] | null | null | null | jorgebastida/awslogs | awslogs | 4,714 | 336 | 57 | Python | null | AWS CloudWatch logs for Humans™ | jorgebastida | 2024-01-12 | 2015-01-21 | 470 | 10.011529 | null | AWS CloudWatch logs for Humans™ | [] | [] | 2020-07-10 | [('rpgreen/apilogs', 0.5721848607063293, 'util', 0), ('nccgroup/scoutsuite', 0.5164755582809448, 'security', 0)] | 39 | 5 | null | 0 | 2 | 1 | 109 | 43 | 0 | 1 | 1 | 2 | 6 | 90 | 3 | 40 |
847 | profiling | https://github.com/pythonprofilers/memory_profiler | [] | null | [] | [] | null | null | null | pythonprofilers/memory_profiler | memory_profiler | 4,110 | 403 | 80 | Python | http://pypi.python.org/pypi/memory_profiler | Monitor Memory usage of Python code | pythonprofilers | 2024-01-14 | 2011-10-14 | 641 | 6.406146 | https://avatars.githubusercontent.com/u/32906038?v=4 | Monitor Memory usage of Python code | [] | [] | 2023-10-23 | [('pympler/pympler', 0.8423640131950378, 'perf', 0), ('pythonspeed/filprofiler', 0.664732813835144, 'profiling', 0), ('pyutils/line_profiler', 0.577487051486969, 'profiling', 0), ('nedbat/coveragepy', 0.5676537156105042, 'testing', 0), ('gaogaotiantian/viztracer', 0.5663729906082153, 'profiling', 0), ('rubik/radon', 0.... | 103 | 7 | null | 0.06 | 3 | 1 | 149 | 3 | 0 | 4 | 4 | 3 | 1 | 90 | 0.3 | 40 |
1,179 | diffusion | https://github.com/salesforce/blip | [] | null | [] | [] | null | null | null | salesforce/blip | BLIP | 3,885 | 530 | 33 | Jupyter Notebook | null | PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation | salesforce | 2024-01-13 | 2022-01-25 | 105 | 37 | https://avatars.githubusercontent.com/u/453694?v=4 | PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation | ['image-captioning', 'image-text-retrieval', 'vision-and-language-pre-training', 'vision-language', 'vision-language-transformer', 'visual-question-answering', 'visual-reasoning'] | ['image-captioning', 'image-text-retrieval', 'vision-and-language-pre-training', 'vision-language', 'vision-language-transformer', 'visual-question-answering', 'visual-reasoning'] | 2022-09-20 | [('nvlabs/prismer', 0.6734409928321838, 'diffusion', 1), ('ofa-sys/ofa', 0.6362955570220947, 'llm', 3), ('nvlabs/gcvit', 0.5959486365318298, 'diffusion', 0), ('pytorch/ignite', 0.5812243223190308, 'ml-dl', 0), ('lucidrains/imagen-pytorch', 0.579346776008606, 'ml-dl', 0), ('jerryyli/valhalla-nmt', 0.5753607749938965, 'm... | 4 | 1 | null | 0 | 19 | 3 | 24 | 16 | 0 | 0 | 0 | 19 | 17 | 90 | 0.9 | 40 |
1,026 | finance | https://github.com/polakowo/vectorbt | [] | null | [] | [] | null | null | null | polakowo/vectorbt | vectorbt | 3,466 | 537 | 116 | Python | https://vectorbt.dev | Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research. | polakowo | 2024-01-14 | 2017-11-14 | 324 | 10.697531 | null | Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research. | ['algorithmic-trading', 'algorithmic-traiding', 'backtesting', 'cryptocurrency', 'data-science', 'data-visualization', 'finance', 'machine-learning', 'portfolio-optimization', 'quantitative-analysis', 'quantitative-finance', 'time-series', 'trading', 'trading-strategies'] | ['algorithmic-trading', 'algorithmic-traiding', 'backtesting', 'cryptocurrency', 'data-science', 'data-visualization', 'finance', 'machine-learning', 'portfolio-optimization', 'quantitative-analysis', 'quantitative-finance', 'time-series', 'trading', 'trading-strategies'] | 2023-09-30 | [('idanya/algo-trader', 0.6762666702270508, 'finance', 3), ('openbb-finance/openbbterminal', 0.6711627244949341, 'finance', 4), ('quantconnect/lean', 0.6572080254554749, 'finance', 3), ('kernc/backtesting.py', 0.6390688419342041, 'finance', 5), ('ranaroussi/quantstats', 0.6319853663444519, 'finance', 4), ('zvtvz/zvt', ... | 11 | 4 | null | 0.17 | 22 | 5 | 75 | 4 | 0 | 0 | 0 | 22 | 35 | 90 | 1.6 | 40 |
1,235 | llm | https://github.com/yizhongw/self-instruct | [] | null | [] | [] | null | null | null | yizhongw/self-instruct | self-instruct | 3,459 | 400 | 52 | Python | null | Aligning pretrained language models with instruction data generated by themselves. | yizhongw | 2024-01-14 | 2022-12-20 | 58 | 59.637931 | null | Aligning pretrained language models with instruction data generated by themselves. | ['general-purpose-model', 'instruction-tuning', 'language-model'] | ['general-purpose-model', 'instruction-tuning', 'language-model'] | 2023-03-27 | [('cg123/mergekit', 0.6453080177307129, 'llm', 0), ('huawei-noah/pretrained-language-model', 0.6405363082885742, 'nlp', 0), ('tatsu-lab/stanford_alpaca', 0.5977901816368103, 'llm', 1), ('tiger-ai-lab/mammoth', 0.5941129922866821, 'llm', 1), ('openai/finetune-transformer-lm', 0.5861937999725342, 'llm', 0), ('ctlllll/llm... | 2 | 1 | null | 0.08 | 2 | 0 | 13 | 10 | 0 | 0 | 0 | 2 | 1 | 90 | 0.5 | 40 |
957 | ml-dl | https://github.com/facebookresearch/pytorch-biggraph | [] | null | [] | [] | null | null | null | facebookresearch/pytorch-biggraph | PyTorch-BigGraph | 3,329 | 449 | 91 | Python | https://torchbiggraph.readthedocs.io/ | Generate embeddings from large-scale graph-structured data. | facebookresearch | 2024-01-11 | 2018-10-01 | 278 | 11.96867 | https://avatars.githubusercontent.com/u/16943930?v=4 | Generate embeddings from large-scale graph-structured data. | [] | [] | 2024-01-06 | [('h4kor/graph-force', 0.6328504085540771, 'graph', 0), ('awslabs/dgl-ke', 0.6120842099189758, 'ml', 0), ('koaning/embetter', 0.5848337411880493, 'data', 0), ('vhranger/nodevectors', 0.5276350975036621, 'viz', 0), ('huggingface/text-embeddings-inference', 0.5272315144538879, 'llm', 0)] | 31 | 5 | null | 0.12 | 0 | 0 | 64 | 0 | 0 | 1 | 1 | 0 | 0 | 90 | 0 | 40 |
42 | nlp | https://github.com/life4/textdistance | [] | null | [] | [] | null | null | null | life4/textdistance | textdistance | 3,248 | 247 | 65 | Python | null | 📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage. | life4 | 2024-01-12 | 2017-05-05 | 351 | 9.238521 | https://avatars.githubusercontent.com/u/48201596?v=4 | 📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage. | ['algorithm', 'algorithms', 'damerau-levenshtein', 'damerau-levenshtein-distance', 'diff', 'distance', 'distance-calculation', 'hamming-distance', 'jellyfish', 'levenshtein', 'levenshtein-distance', 'textdistance'] | ['algorithm', 'algorithms', 'damerau-levenshtein', 'damerau-levenshtein-distance', 'diff', 'distance', 'distance-calculation', 'hamming-distance', 'jellyfish', 'levenshtein', 'levenshtein-distance', 'textdistance'] | 2023-12-29 | [('jamesturk/jellyfish', 0.6177361011505127, 'nlp', 1), ('scipy/scipy', 0.5068709850311279, 'math', 1), ('spotify/annoy', 0.5062219500541687, 'ml', 0)] | 14 | 5 | null | 0.31 | 2 | 2 | 82 | 1 | 2 | 2 | 2 | 2 | 1 | 90 | 0.5 | 40 |
780 | study | https://github.com/cosmicpython/book | [] | null | [] | [] | null | null | null | cosmicpython/book | book | 3,162 | 520 | 95 | Python | https://www.cosmicpython.com | A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho. | cosmicpython | 2024-01-13 | 2019-02-05 | 260 | 12.161538 | https://avatars.githubusercontent.com/u/47350834?v=4 | A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho. | [] | [] | 2023-09-11 | [('roban/cosmolopy', 0.5579319000244141, 'sim', 0), ('faif/python-patterns', 0.532017707824707, 'util', 0), ('google/gin-config', 0.5146122574806213, 'util', 0), ('timofurrer/awesome-asyncio', 0.5105115175247192, 'study', 0), ('eleutherai/pyfra', 0.5096278190612793, 'ml', 0), ('python/cpython', 0.5018055438995361, 'uti... | 46 | 2 | null | 0.1 | 1 | 1 | 60 | 4 | 0 | 0 | 0 | 1 | 3 | 90 | 3 | 40 |
155 | pandas | https://github.com/adamerose/pandasgui | [] | null | [] | [] | null | null | null | adamerose/pandasgui | PandasGUI | 3,079 | 223 | 54 | Python | null | A GUI for Pandas DataFrames | adamerose | 2024-01-11 | 2019-06-12 | 241 | 12.730656 | null | A GUI for Pandas DataFrames | ['dataframe', 'gui', 'pandas', 'viewer'] | ['dataframe', 'gui', 'pandas', 'viewer'] | 2023-12-07 | [('tkrabel/bamboolib', 0.8184458017349243, 'pandas', 1), ('lux-org/lux', 0.6828799843788147, 'viz', 1), ('kanaries/pygwalker', 0.6812300682067871, 'pandas', 2), ('holoviz/panel', 0.6248031854629517, 'viz', 1), ('man-group/dtale', 0.6185036897659302, 'viz', 1), ('twopirllc/pandas-ta', 0.5920196771621704, 'finance', 2), ... | 15 | 1 | null | 0.06 | 9 | 3 | 56 | 1 | 0 | 9 | 9 | 9 | 4 | 90 | 0.4 | 40 |
698 | data | https://github.com/pyeve/cerberus | [] | null | [] | [] | null | null | null | pyeve/cerberus | cerberus | 3,071 | 238 | 50 | Python | http://python-cerberus.org | Lightweight, extensible data validation library for Python | pyeve | 2024-01-12 | 2012-10-10 | 589 | 5.206345 | https://avatars.githubusercontent.com/u/26229868?v=4 | Lightweight, extensible data validation library for Python | ['data-validation'] | ['data-validation'] | 2023-10-23 | [('pydantic/pydantic', 0.7001333832740784, 'util', 0), ('wtforms/wtforms', 0.657631516456604, 'web', 0), ('marshmallow-code/marshmallow', 0.6555448174476624, 'util', 0), ('tensorflow/data-validation', 0.6110429167747498, 'ml-ops', 0), ('unionai-oss/pandera', 0.6107540726661682, 'pandas', 1), ('python-odin/odin', 0.6078... | 66 | 4 | null | 0.88 | 8 | 6 | 137 | 3 | 0 | 2 | 2 | 8 | 11 | 90 | 1.4 | 40 |
1,841 | finance | https://github.com/zvtvz/zvt | [] | null | [] | [] | null | null | null | zvtvz/zvt | zvt | 2,790 | 811 | 131 | Python | https://zvt.readthedocs.io/en/latest/ | modular quant framework. | zvtvz | 2024-01-12 | 2019-04-04 | 251 | 11.083995 | https://avatars.githubusercontent.com/u/49115722?v=4 | modular quant framework. | ['algorithmic-trading', 'backtesting', 'cryptocurrency', 'fintech', 'fundamental-analysis', 'machine-learning', 'ml', 'quant', 'quantitative-finance', 'quantitative-trading', 'stock', 'stock-market', 'technical-analysis', 'trading-bot', 'trading-platform', 'trading-strategies', 'zvt'] | ['algorithmic-trading', 'backtesting', 'cryptocurrency', 'fintech', 'fundamental-analysis', 'machine-learning', 'ml', 'quant', 'quantitative-finance', 'quantitative-trading', 'stock', 'stock-market', 'technical-analysis', 'trading-bot', 'trading-platform', 'trading-strategies', 'zvt'] | 2023-11-09 | [('ranaroussi/quantstats', 0.6442165970802307, 'finance', 4), ('quantconnect/lean', 0.6376045942306519, 'finance', 3), ('polakowo/vectorbt', 0.6255056858062744, 'finance', 6), ('goldmansachs/gs-quant', 0.6025742888450623, 'finance', 1), ('numerai/example-scripts', 0.5974596738815308, 'finance', 2), ('microsoft/qlib', 0... | 64 | 4 | null | 0.25 | 3 | 0 | 58 | 2 | 1 | 15 | 1 | 3 | 2 | 90 | 0.7 | 40 |
1,438 | testing | https://github.com/cobrateam/splinter | [] | null | [] | [] | null | null | null | cobrateam/splinter | splinter | 2,672 | 532 | 95 | Python | http://splinter.readthedocs.org/en/stable/index.html | splinter - python test framework for web applications | cobrateam | 2024-01-14 | 2010-09-18 | 697 | 3.831217 | https://avatars.githubusercontent.com/u/403905?v=4 | splinter - python test framework for web applications | ['automation', 'selenium', 'webdriver'] | ['automation', 'selenium', 'webdriver'] | 2024-01-09 | [('seleniumbase/seleniumbase', 0.7703961730003357, 'testing', 2), ('microsoft/playwright-python', 0.6916419267654419, 'testing', 1), ('roniemartinez/dude', 0.5549781918525696, 'util', 1), ('masoniteframework/masonite', 0.5544414520263672, 'web', 0), ('wolever/parameterized', 0.5428141355514526, 'testing', 0), ('buildbo... | 179 | 3 | null | 1.35 | 30 | 26 | 162 | 0 | 1 | 4 | 1 | 30 | 23 | 90 | 0.8 | 40 |
1,127 | ml | https://github.com/scikit-learn-contrib/hdbscan | [] | null | [] | [] | null | null | null | scikit-learn-contrib/hdbscan | hdbscan | 2,600 | 479 | 57 | Jupyter Notebook | http://hdbscan.readthedocs.io/en/latest/ | A high performance implementation of HDBSCAN clustering. | scikit-learn-contrib | 2024-01-12 | 2015-04-22 | 457 | 5.678627 | https://avatars.githubusercontent.com/u/17349883?v=4 | A high performance implementation of HDBSCAN clustering. | ['cluster-analysis', 'clustering', 'clustering-algorithm', 'clustering-evaluation', 'machine-learning', 'machine-learning-algorithms'] | ['cluster-analysis', 'clustering', 'clustering-algorithm', 'clustering-evaluation', 'machine-learning', 'machine-learning-algorithms'] | 2023-11-20 | [] | 86 | 4 | null | 0.48 | 12 | 3 | 106 | 2 | 5 | 5 | 5 | 12 | 8 | 90 | 0.7 | 40 |
337 | perf | https://github.com/tlkh/asitop | [] | null | [] | [] | null | null | null | tlkh/asitop | asitop | 2,346 | 125 | 27 | Python | https://tlkh.github.io/asitop/ | Perf monitoring CLI tool for Apple Silicon | tlkh | 2024-01-14 | 2021-10-27 | 117 | 19.905455 | null | Perf monitoring CLI tool for Apple Silicon | ['apple-silicon', 'cli', 'cpu', 'gpu', 'm1', 'macos'] | ['apple-silicon', 'cli', 'cpu', 'gpu', 'm1', 'macos'] | 2023-01-24 | [('ml-explore/mlx', 0.5542373061180115, 'ml', 1), ('tlkh/tf-metal-experiments', 0.540374219417572, 'perf', 2), ('mrdbourke/m1-machine-learning-test', 0.5042293071746826, 'ml', 0)] | 8 | 2 | null | 0.02 | 14 | 0 | 27 | 12 | 0 | 0 | 0 | 14 | 36 | 90 | 2.6 | 40 |
352 | ml-interpretability | https://github.com/seldonio/alibi | [] | null | [] | [] | null | null | null | seldonio/alibi | alibi | 2,246 | 279 | 47 | Python | https://docs.seldon.io/projects/alibi/en/stable/ | Algorithms for explaining machine learning models | seldonio | 2024-01-13 | 2019-02-26 | 257 | 8.7393 | https://avatars.githubusercontent.com/u/10297834?v=4 | Algorithms for explaining machine learning models | ['counterfactual', 'explanations', 'interpretability', 'machine-learning', 'xai'] | ['counterfactual', 'explanations', 'interpretability', 'machine-learning', 'xai'] | 2023-11-13 | [('marcotcr/lime', 0.7131057977676392, 'ml-interpretability', 0), ('maif/shapash', 0.6979689002037048, 'ml', 2), ('carla-recourse/carla', 0.6956292986869812, 'ml', 2), ('slundberg/shap', 0.6683449745178223, 'ml-interpretability', 2), ('interpretml/interpret', 0.6674531102180481, 'ml-interpretability', 3), ('pair-code/l... | 19 | 2 | null | 1.77 | 18 | 7 | 59 | 2 | 4 | 6 | 4 | 18 | 16 | 90 | 0.9 | 40 |
1,224 | util | https://github.com/dateutil/dateutil | [] | null | [] | [] | null | null | null | dateutil/dateutil | dateutil | 2,193 | 470 | 45 | Python | null | Useful extensions to the standard Python datetime features | dateutil | 2024-01-13 | 2014-11-19 | 479 | 4.57011 | https://avatars.githubusercontent.com/u/9849410?v=4 | Useful extensions to the standard Python datetime features | ['datetime', 'parsing', 'time', 'timezones'] | ['datetime', 'parsing', 'time', 'timezones'] | 2023-11-13 | [('sdispater/pendulum', 0.7966391444206238, 'util', 3), ('scrapinghub/dateparser', 0.7123557329177856, 'util', 2), ('arrow-py/arrow', 0.7106708884239197, 'util', 3), ('stub42/pytz', 0.621961236000061, 'util', 0), ('rjt1990/pyflux', 0.5882995128631592, 'time-series', 0), ('google/temporian', 0.5748814344406128, 'time-se... | 131 | 5 | null | 0.1 | 41 | 11 | 111 | 2 | 0 | 2 | 2 | 41 | 39 | 90 | 1 | 40 |
1,480 | web | https://github.com/masoniteframework/masonite | [] | null | [] | [] | null | null | null | masoniteframework/masonite | masonite | 2,109 | 130 | 63 | Python | http://docs.masoniteproject.com | The Modern And Developer Centric Python Web Framework. Be sure to read the documentation and join the Discord channel for questions: https://discord.gg/TwKeFahmPZ | masoniteframework | 2024-01-13 | 2017-12-06 | 320 | 6.573019 | https://avatars.githubusercontent.com/u/35498523?v=4 | The Modern And Developer Centric Python Web Framework. Be sure to read the documentation and join the Discord channel for questions: https://discord.gg/TwKeFahmPZ | ['framework', 'masonite', 'web', 'webframework'] | ['framework', 'masonite', 'web', 'webframework'] | 2024-01-01 | [('pallets/flask', 0.7340575456619263, 'web', 0), ('klen/muffin', 0.7306077480316162, 'web', 1), ('webpy/webpy', 0.7172554731369019, 'web', 0), ('bottlepy/bottle', 0.6854233741760254, 'web', 0), ('pylons/pyramid', 0.6714824438095093, 'web', 0), ('eleutherai/pyfra', 0.6563796401023865, 'ml', 0), ('pyscript/pyscript', 0.... | 87 | 3 | null | 0.48 | 25 | 11 | 74 | 0 | 3 | 19 | 3 | 25 | 3 | 90 | 0.1 | 40 |
1,578 | data | https://github.com/accenture/ampligraph | ['knowledge-graph'] | null | [] | [] | null | null | null | accenture/ampligraph | AmpliGraph | 2,045 | 247 | 67 | Python | null | Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org | accenture | 2024-01-13 | 2019-01-09 | 263 | 7.750406 | https://avatars.githubusercontent.com/u/10454368?v=4 | Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org | ['graph-embeddings', 'graph-representation-learning', 'knowledge-graph', 'knowledge-graph-embeddings', 'machine-learning', 'relational-learning', 'representation-learning'] | ['graph-embeddings', 'graph-representation-learning', 'knowledge-graph', 'knowledge-graph-embeddings', 'machine-learning', 'relational-learning', 'representation-learning'] | 2023-07-12 | [('awslabs/dgl-ke', 0.7346105575561523, 'ml', 2), ('dmlc/dgl', 0.6121450066566467, 'ml-dl', 0), ('zjunlp/deepke', 0.593433678150177, 'ml', 1), ('dylanhogg/llmgraph', 0.5810795426368713, 'ml', 1), ('pyg-team/pytorch_geometric', 0.58009934425354, 'ml-dl', 0), ('a-r-j/graphein', 0.5756738185882568, 'sim', 0), ('strawberry... | 20 | 4 | null | 6.08 | 1 | 1 | 61 | 6 | 2 | 3 | 2 | 1 | 2 | 90 | 2 | 40 |
376 | ml-interpretability | https://github.com/jalammar/ecco | [] | null | [] | [] | null | null | null | jalammar/ecco | ecco | 1,849 | 153 | 24 | Jupyter Notebook | https://ecco.readthedocs.io | Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0). | jalammar | 2024-01-12 | 2020-11-07 | 168 | 10.977947 | null | Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0). | ['explorables', 'language-models', 'natural-language-processing', 'nlp', 'pytorch', 'visualization'] | ['explorables', 'language-models', 'natural-language-processing', 'nlp', 'pytorch', 'visualization'] | 2023-08-10 | [('allenai/allennlp', 0.5496200323104858, 'nlp', 3), ('alibaba/easynlp', 0.549338698387146, 'nlp', 2), ('koaning/whatlies', 0.5461040735244751, 'nlp', 1), ('brandtbucher/specialist', 0.5420230031013489, 'perf', 0), ('hannibal046/awesome-llm', 0.5404885411262512, 'study', 0), ('lianjiatech/belle', 0.5401182174682617, 'l... | 11 | 7 | null | 0.06 | 5 | 0 | 39 | 5 | 0 | 4 | 4 | 5 | 4 | 90 | 0.8 | 40 |
656 | util | https://github.com/numba/llvmlite | [] | null | [] | [] | null | null | null | numba/llvmlite | llvmlite | 1,760 | 317 | 56 | Python | http://llvmlite.pydata.org/ | A lightweight LLVM python binding for writing JIT compilers | numba | 2024-01-13 | 2014-08-07 | 494 | 3.557609 | https://avatars.githubusercontent.com/u/1628082?v=4 | A lightweight LLVM python binding for writing JIT compilers | [] | [] | 2023-12-13 | [('exaloop/codon', 0.6857039332389832, 'perf', 0), ('rustpython/rustpython', 0.638462483882904, 'util', 0), ('numba/numba', 0.5931792855262756, 'perf', 0), ('oracle/graalpython', 0.586859405040741, 'util', 0), ('cqcl/tket', 0.5800346732139587, 'util', 0), ('pyston/pyston', 0.5717125535011292, 'util', 0), ('citadel-ai/l... | 88 | 3 | null | 2.87 | 37 | 22 | 115 | 1 | 2 | 12 | 2 | 37 | 61 | 90 | 1.6 | 40 |
1,027 | finance | https://github.com/domokane/financepy | [] | null | [] | [] | null | null | null | domokane/financepy | FinancePy | 1,743 | 271 | 60 | Jupyter Notebook | https://financepy.com/ | A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives. | domokane | 2024-01-13 | 2019-10-27 | 222 | 7.84126 | null | A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives. | ['asset-allocation', 'bonds', 'credit', 'currency', 'derivatives', 'derivatives-pricing', 'finance', 'fixed-income', 'investment', 'numba', 'pricing', 'risk', 'risk-management', 'students', 'valuation'] | ['asset-allocation', 'bonds', 'credit', 'currency', 'derivatives', 'derivatives-pricing', 'finance', 'fixed-income', 'investment', 'numba', 'pricing', 'risk', 'risk-management', 'students', 'valuation'] | 2023-12-10 | [('pmorissette/ffn', 0.6907992959022522, 'finance', 0), ('goldmansachs/gs-quant', 0.6860893964767456, 'finance', 2), ('cuemacro/finmarketpy', 0.6049692630767822, 'finance', 0), ('quantopian/pyfolio', 0.6018176078796387, 'finance', 0), ('ta-lib/ta-lib-python', 0.5799912810325623, 'finance', 1), ('quantecon/quantecon.py'... | 29 | 3 | null | 4.52 | 12 | 5 | 51 | 1 | 0 | 0 | 0 | 12 | 17 | 90 | 1.4 | 40 |
606 | testing | https://github.com/pytest-dev/pytest-mock | [] | null | [] | [] | null | null | null | pytest-dev/pytest-mock | pytest-mock | 1,705 | 135 | 36 | Python | https://pytest-mock.readthedocs.io/en/latest/ | Thin-wrapper around the mock package for easier use with pytest | pytest-dev | 2024-01-12 | 2014-07-17 | 497 | 3.42566 | https://avatars.githubusercontent.com/u/8897583?v=4 | Thin-wrapper around the mock package for easier use with pytest | ['mock', 'pytest'] | ['mock', 'pytest'] | 2023-12-20 | [('pytest-dev/pytest', 0.6347528100013733, 'testing', 0), ('pytest-dev/pytest-cov', 0.6337581872940063, 'testing', 1), ('ionelmc/pytest-benchmark', 0.6237248182296753, 'testing', 1), ('pytest-dev/pytest-asyncio', 0.6129404306411743, 'testing', 0), ('samuelcolvin/dirty-equals', 0.6112805008888245, 'util', 1), ('pytest-d... | 68 | 7 | null | 0.92 | 17 | 16 | 116 | 1 | 2 | 7 | 2 | 17 | 18 | 90 | 1.1 | 40 |
1,040 | llm | https://github.com/openai/gpt-discord-bot | [] | null | [] | [] | null | null | null | openai/gpt-discord-bot | gpt-discord-bot | 1,636 | 633 | 35 | Python | null | Example Discord bot written in Python that uses the completions API to have conversations with the `text-davinci-003` model, and the moderations API to filter the messages. | openai | 2024-01-12 | 2022-12-21 | 57 | 28.276543 | https://avatars.githubusercontent.com/u/14957082?v=4 | Example Discord bot written in Python that uses the completions API to have conversations with the `text-davinci-003` model, and the moderations API to filter the messages. | [] | [] | 2024-01-09 | [('nomic-ai/gpt4all', 0.5539908409118652, 'llm', 0), ('minimaxir/simpleaichat', 0.552017331123352, 'llm', 0), ('rasahq/rasa', 0.5486682057380676, 'llm', 0), ('togethercomputer/openchatkit', 0.5345660448074341, 'nlp', 0), ('eternnoir/pytelegrambotapi', 0.5340373516082764, 'util', 0), ('gunthercox/chatterbot', 0.52795237... | 3 | 0 | null | 0.19 | 24 | 22 | 13 | 0 | 0 | 0 | 0 | 24 | 21 | 90 | 0.9 | 40 |
448 | gis | https://github.com/jupyter-widgets/ipyleaflet | [] | null | [] | [] | null | null | null | jupyter-widgets/ipyleaflet | ipyleaflet | 1,435 | 363 | 66 | TypeScript | https://ipyleaflet.readthedocs.io | A Jupyter - Leaflet.js bridge | jupyter-widgets | 2024-01-12 | 2014-05-07 | 507 | 2.825598 | https://avatars.githubusercontent.com/u/25869250?v=4 | A Jupyter - Leaflet.js bridge | ['jupyter', 'jupyterlab-extension', 'leaflet', 'visualization'] | ['jupyter', 'jupyterlab-extension', 'leaflet', 'visualization'] | 2024-01-12 | [('giswqs/mapwidget', 0.6565911769866943, 'gis', 2), ('jupyter-widgets/ipywidgets', 0.6435815095901489, 'jupyter', 1), ('python-visualization/folium', 0.6334434151649475, 'gis', 0), ('vizzuhq/ipyvizzu', 0.6106564402580261, 'jupyter', 1), ('voila-dashboards/voila', 0.5810590386390686, 'jupyter', 2), ('jupyterlab/jupyter... | 87 | 4 | null | 0.46 | 41 | 26 | 118 | 0 | 3 | 8 | 3 | 41 | 68 | 90 | 1.7 | 40 |
1,859 | sim | https://github.com/nvidia-omniverse/isaacgymenvs | ['gym'] | null | [] | [] | null | null | null | nvidia-omniverse/isaacgymenvs | IsaacGymEnvs | 1,357 | 309 | 36 | Python | null | Isaac Gym Reinforcement Learning Environments | nvidia-omniverse | 2024-01-14 | 2021-08-27 | 126 | 10.721219 | https://avatars.githubusercontent.com/u/57824658?v=4 | Isaac Gym Reinforcement Learning Environments | [] | ['gym'] | 2023-10-18 | [('nvidia-omniverse/omniisaacgymenvs', 0.8064512610435486, 'sim', 0), ('farama-foundation/gymnasium', 0.6873985528945923, 'ml-rl', 1), ('pettingzoo-team/pettingzoo', 0.6462188959121704, 'ml-rl', 1), ('humancompatibleai/imitation', 0.617064356803894, 'ml-rl', 0), ('kzl/decision-transformer', 0.5959394574165344, 'ml-rl',... | 13 | 3 | null | 0.29 | 46 | 14 | 29 | 3 | 0 | 2 | 2 | 46 | 56 | 90 | 1.2 | 40 |
946 | diffusion | https://github.com/coyote-a/ultimate-upscale-for-automatic1111 | [] | null | [] | [] | null | null | null | coyote-a/ultimate-upscale-for-automatic1111 | ultimate-upscale-for-automatic1111 | 1,331 | 136 | 15 | Python | null | null | coyote-a | 2024-01-14 | 2023-01-02 | 56 | 23.707379 | null | coyote-a/ultimate-upscale-for-automatic1111 | [] | [] | 2023-09-09 | [] | 8 | 1 | null | 0.29 | 6 | 2 | 13 | 4 | 0 | 0 | 0 | 6 | 12 | 90 | 2 | 40 |
487 | gis | https://github.com/scitools/cartopy | [] | null | [] | [] | null | null | null | scitools/cartopy | cartopy | 1,318 | 354 | 55 | Python | https://scitools.org.uk/cartopy/docs/latest | Cartopy - a cartographic python library with matplotlib support | scitools | 2024-01-12 | 2012-08-03 | 599 | 2.198237 | https://avatars.githubusercontent.com/u/1391487?v=4 | Cartopy - a cartographic python library with matplotlib support | ['cartopy', 'geometry', 'maps', 'matplotlib', 'projections', 'spatial'] | ['cartopy', 'geometry', 'maps', 'matplotlib', 'projections', 'spatial'] | 2024-01-10 | [('pyproj4/pyproj', 0.7539182305335999, 'gis', 0), ('holoviz/geoviews', 0.7182220220565796, 'gis', 1), ('raphaelquast/eomaps', 0.6839972138404846, 'gis', 2), ('residentmario/geoplot', 0.6602010726928711, 'gis', 1), ('dfki-ric/pytransform3d', 0.6194444298744202, 'math', 1), ('matplotlib/basemap', 0.6154806613922119, 'gi... | 124 | 4 | null | 2.65 | 72 | 47 | 139 | 0 | 1 | 4 | 1 | 72 | 137 | 90 | 1.9 | 40 |
1,871 | ml | https://github.com/eric-mitchell/direct-preference-optimization | ['dpo'] | null | [] | [] | null | null | null | eric-mitchell/direct-preference-optimization | direct-preference-optimization | 1,147 | 82 | 13 | Python | null | Reference implementation for DPO (Direct Preference Optimization) | eric-mitchell | 2024-01-13 | 2023-06-22 | 31 | 36.166667 | null | Reference implementation for DPO (Direct Preference Optimization) | [] | ['dpo'] | 2023-12-14 | [] | 2 | 0 | null | 0.25 | 27 | 13 | 7 | 1 | 0 | 0 | 0 | 27 | 32 | 90 | 1.2 | 40 |
1,068 | llm | https://github.com/bigscience-workshop/megatron-deepspeed | [] | null | [] | [] | null | null | null | bigscience-workshop/megatron-deepspeed | Megatron-DeepSpeed | 1,144 | 199 | 24 | Python | null | Ongoing research training transformer language models at scale, including: BERT & GPT-2 | bigscience-workshop | 2024-01-13 | 2021-07-02 | 134 | 8.501062 | https://avatars.githubusercontent.com/u/82455566?v=4 | Ongoing research training transformer language models at scale, including: BERT & GPT-2 | [] | [] | 2023-12-08 | [('microsoft/megatron-deepspeed', 1.0000001192092896, 'llm', 0), ('nvidia/megatron-lm', 0.6671424508094788, 'llm', 0), ('lvwerra/trl', 0.6662755608558655, 'llm', 0), ('jonasgeiping/cramming', 0.6582860946655273, 'nlp', 0), ('huggingface/transformers', 0.6457441449165344, 'nlp', 0), ('explosion/spacy-transformers', 0.63... | 49 | 4 | null | 0.04 | 4 | 2 | 31 | 1 | 0 | 4 | 4 | 4 | 3 | 90 | 0.8 | 40 |
622 | data | https://github.com/intake/intake | [] | null | [] | [] | null | null | null | intake/intake | intake | 954 | 136 | 42 | Python | https://intake.readthedocs.io/ | Intake is a lightweight package for finding, investigating, loading and disseminating data. | intake | 2024-01-11 | 2017-08-14 | 337 | 2.829661 | https://avatars.githubusercontent.com/u/1469464?v=4 | Intake is a lightweight package for finding, investigating, loading and disseminating data. | ['data-access', 'data-catalog'] | ['data-access', 'data-catalog'] | 2023-10-10 | [('hyperqueryhq/whale', 0.5861302614212036, 'data', 1), ('airbnb/omniduct', 0.567048192024231, 'data', 0), ('lean-dojo/leandojo', 0.5443071722984314, 'math', 0), ('simonw/datasette', 0.5237489938735962, 'data', 0), ('linealabs/lineapy', 0.5228672623634338, 'jupyter', 0), ('saulpw/visidata', 0.5221759080886841, 'term', ... | 86 | 5 | null | 2.1 | 7 | 1 | 78 | 3 | 0 | 7 | 7 | 7 | 26 | 90 | 3.7 | 40 |
443 | gis | https://github.com/pyproj4/pyproj | [] | null | [] | [] | null | null | null | pyproj4/pyproj | pyproj | 951 | 211 | 33 | Python | https://pyproj4.github.io/pyproj | Python interface to PROJ (cartographic projections and coordinate transformations library) | pyproj4 | 2024-01-10 | 2014-12-29 | 474 | 2.005725 | https://avatars.githubusercontent.com/u/48302803?v=4 | Python interface to PROJ (cartographic projections and coordinate transformations library) | ['cartographic-projection', 'coordinate-systems', 'coordinate-transformation', 'geodesic', 'geospatial'] | ['cartographic-projection', 'coordinate-systems', 'coordinate-transformation', 'geodesic', 'geospatial'] | 2023-11-08 | [('scitools/cartopy', 0.7539182305335999, 'gis', 0), ('holoviz/geoviews', 0.6277405023574829, 'gis', 0), ('residentmario/geoplot', 0.5774697065353394, 'gis', 0), ('artelys/geonetworkx', 0.5713775753974915, 'gis', 0), ('raphaelquast/eomaps', 0.5670640468597412, 'gis', 1), ('dfki-ric/pytransform3d', 0.5527838468551636, '... | 65 | 5 | null | 1.37 | 21 | 15 | 110 | 2 | 6 | 7 | 6 | 20 | 62 | 90 | 3.1 | 40 |
1,845 | ml-dl | https://github.com/jeshraghian/snntorch | [] | null | [] | [] | null | null | null | jeshraghian/snntorch | snntorch | 924 | 166 | 25 | Python | https://snntorch.readthedocs.io/en/latest/ | Deep and online learning with spiking neural networks in Python | jeshraghian | 2024-01-12 | 2020-09-28 | 174 | 5.305989 | null | Deep and online learning with spiking neural networks in Python | ['machine-learning', 'neural-networks', 'neuron-models', 'neuroscience', 'pytorch', 'snn', 'spike', 'spiking', 'spiking-neural-networks'] | ['machine-learning', 'neural-networks', 'neuron-models', 'neuroscience', 'pytorch', 'snn', 'spike', 'spiking', 'spiking-neural-networks'] | 2023-12-14 | [('online-ml/river', 0.615203320980072, 'ml', 1), ('ageron/handson-ml2', 0.5824640989303589, 'ml', 0), ('pytorch/pytorch', 0.5666177272796631, 'ml-dl', 1), ('ddbourgin/numpy-ml', 0.5650865435600281, 'ml', 2), ('scikit-learn/scikit-learn', 0.5448082089424133, 'ml', 1), ('gradio-app/gradio', 0.5395351648330688, 'viz', 1)... | 28 | 5 | null | 3.54 | 31 | 12 | 40 | 1 | 2 | 10 | 2 | 31 | 38 | 90 | 1.2 | 40 |
1,207 | ml | https://github.com/hazyresearch/safari | [] | null | [] | [] | null | null | null | hazyresearch/safari | safari | 802 | 73 | 36 | Assembly | null | Convolutions for Sequence Modeling | hazyresearch | 2024-01-12 | 2023-02-14 | 50 | 16.04 | https://avatars.githubusercontent.com/u/2165246?v=4 | Convolutions for Sequence Modeling | [] | [] | 2023-09-29 | [('amazon-science/dq-bart', 0.5790391564369202, 'nlp', 0), ('bytedance/lightseq', 0.5279725790023804, 'nlp', 0)] | 6 | 3 | null | 0.48 | 6 | 4 | 11 | 4 | 0 | 0 | 0 | 6 | 20 | 90 | 3.3 | 40 |
1,618 | util | https://github.com/samuelcolvin/dirty-equals | [] | null | [] | [] | null | null | null | samuelcolvin/dirty-equals | dirty-equals | 744 | 35 | 12 | Python | https://dirty-equals.helpmanual.io | Doing dirty (but extremely useful) things with equals. | samuelcolvin | 2024-01-07 | 2022-01-26 | 104 | 7.095368 | null | Doing dirty (but extremely useful) things with equals. | ['pytest', 'testing-tools', 'unit-testing'] | ['pytest', 'testing-tools', 'unit-testing'] | 2023-11-15 | [('pytest-dev/pytest', 0.6580618023872375, 'testing', 1), ('ionelmc/pytest-benchmark', 0.6507035493850708, 'testing', 1), ('pytest-dev/pytest-mock', 0.6112805008888245, 'testing', 1), ('pytest-dev/pytest-cov', 0.5618858933448792, 'testing', 1), ('nteract/testbook', 0.5593006014823914, 'jupyter', 2), ('pytest-dev/pytest... | 16 | 4 | null | 0.62 | 16 | 13 | 24 | 2 | 4 | 8 | 4 | 16 | 24 | 90 | 1.5 | 40 |
1,543 | util | https://github.com/yukinarit/pyserde | ['serialization', 'dataclasses'] | null | [] | [] | null | null | null | yukinarit/pyserde | pyserde | 611 | 32 | 8 | Python | https://yukinarit.github.io/pyserde/guide/en | Yet another serialization library on top of dataclasses, inspired by serde-rs. | yukinarit | 2024-01-13 | 2018-12-05 | 268 | 2.272582 | null | Yet another serialization library on top of dataclasses, inspired by serde-rs. | ['dataclasses', 'json', 'msgpack', 'serde', 'serialization', 'toml', 'typing', 'yaml'] | ['dataclasses', 'json', 'msgpack', 'serde', 'serialization', 'toml', 'typing', 'yaml'] | 2024-01-13 | [('lidatong/dataclasses-json', 0.686412513256073, 'util', 2), ('pylons/colander', 0.6523554921150208, 'util', 1), ('marshmallow-code/marshmallow', 0.6370522379875183, 'util', 2), ('google/flatbuffers', 0.6145598292350769, 'perf', 1), ('python-odin/odin', 0.5727947354316711, 'util', 3), ('jsonpickle/jsonpickle', 0.54835... | 27 | 7 | null | 2.04 | 36 | 28 | 62 | 0 | 20 | 9 | 20 | 35 | 42 | 90 | 1.2 | 40 |
866 | util | https://github.com/ipython/ipykernel | [] | null | [] | [] | null | null | null | ipython/ipykernel | ipykernel | 596 | 361 | 37 | Python | https://ipykernel.readthedocs.io/en/stable/ | IPython Kernel for Jupyter | ipython | 2024-01-12 | 2015-04-09 | 459 | 1.296457 | https://avatars.githubusercontent.com/u/230453?v=4 | IPython Kernel for Jupyter | ['ipython', 'ipython-kernel', 'jupyter', 'jupyter-notebook', 'kernel'] | ['ipython', 'ipython-kernel', 'jupyter', 'jupyter-notebook', 'kernel'] | 2024-01-13 | [('jupyter/notebook', 0.6881211400032043, 'jupyter', 2), ('ipython/ipyparallel', 0.6646348237991333, 'perf', 1), ('jupyterlab/jupyterlab', 0.662561297416687, 'jupyter', 1), ('jupyter/nbformat', 0.6578472852706909, 'jupyter', 0), ('ipython/ipython', 0.6446179747581482, 'util', 2), ('computationalmodelling/nbval', 0.6354... | 176 | 7 | null | 1.52 | 45 | 28 | 107 | 0 | 18 | 15 | 18 | 45 | 43 | 90 | 1 | 40 |
1,086 | ml | https://github.com/opentensor/bittensor | [] | null | [] | [] | null | null | null | opentensor/bittensor | bittensor | 575 | 177 | 28 | Python | https://www.bittensor.com/ | Internet-scale Neural Networks | opentensor | 2024-01-14 | 2020-07-28 | 183 | 3.142077 | https://avatars.githubusercontent.com/u/61063461?v=4 | Internet-scale Neural Networks | ['ai', 'blockchain', 'cryptocurrency', 'deep-learning', 'machine-learning', 'neural-networks', 'p2p', 'p2p-network', 'polkadot', 'pytorch', 'substrate', 'torch'] | ['ai', 'blockchain', 'cryptocurrency', 'deep-learning', 'machine-learning', 'neural-networks', 'p2p', 'p2p-network', 'polkadot', 'pytorch', 'substrate', 'torch'] | 2024-01-09 | [('alpa-projects/alpa', 0.556601345539093, 'ml-dl', 2), ('hpcaitech/colossalai', 0.552403450012207, 'llm', 2), ('ai4finance-foundation/finrl', 0.5417373776435852, 'finance', 0), ('explosion/thinc', 0.5385252833366394, 'ml-dl', 4), ('ddbourgin/numpy-ml', 0.5296874642372131, 'ml', 2), ('mosaicml/composer', 0.528035104274... | 48 | 2 | null | 13.79 | 172 | 162 | 42 | 0 | 24 | 12 | 24 | 172 | 49 | 90 | 0.3 | 40 |
1,808 | data | https://github.com/jina-ai/vectordb | ['vectordb'] | null | [] | [] | null | null | null | jina-ai/vectordb | vectordb | 415 | 29 | 8 | Python | null | A Python vector database you just need - no more, no less. | jina-ai | 2024-01-12 | 2023-05-02 | 39 | 10.641026 | https://avatars.githubusercontent.com/u/60539444?v=4 | A Python vector database you just need - no more, no less. | ['embedding-similarity', 'neural-search', 'sentence-embeddings', 'vector-database', 'vector-database-embedding', 'vector-search'] | ['embedding-similarity', 'neural-search', 'sentence-embeddings', 'vector-database', 'vector-database-embedding', 'vector-search', 'vectordb'] | 2023-10-23 | [('qdrant/fastembed', 0.7195001244544983, 'ml', 2), ('kagisearch/vectordb', 0.6794906258583069, 'data', 1), ('neuml/txtai', 0.6555339097976685, 'nlp', 4), ('chroma-core/chroma', 0.6463486552238464, 'data', 1), ('activeloopai/deeplake', 0.639483630657196, 'ml-ops', 2), ('milvus-io/bootcamp', 0.6278480887413025, 'data', ... | 6 | 2 | null | 1.79 | 4 | 2 | 9 | 3 | 10 | 24 | 10 | 4 | 9 | 90 | 2.2 | 40 |
730 | ml-ops | https://github.com/skops-dev/skops | [] | null | [] | [] | null | null | null | skops-dev/skops | skops | 385 | 49 | 10 | Python | https://skops.readthedocs.io/en/stable/ | skops is a Python library helping you share your scikit-learn based models and put them in production | skops-dev | 2024-01-05 | 2022-05-04 | 90 | 4.237421 | https://avatars.githubusercontent.com/u/104910083?v=4 | skops is a Python library helping you share your scikit-learn based models and put them in production | ['huggingface', 'machine-learning', 'mlops', 'scikit-learn'] | ['huggingface', 'machine-learning', 'mlops', 'scikit-learn'] | 2024-01-05 | [('fmind/mlops-python-package', 0.6394261121749878, 'template', 1), ('kubeflow/fairing', 0.6278438568115234, 'ml-ops', 0), ('koaning/scikit-lego', 0.6168782711029053, 'ml', 2), ('automl/auto-sklearn', 0.5991626381874084, 'ml', 1), ('intel/scikit-learn-intelex', 0.5795713067054749, 'perf', 2), ('polyaxon/polyaxon', 0.57... | 16 | 5 | null | 1.77 | 15 | 13 | 21 | 0 | 5 | 6 | 5 | 15 | 32 | 90 | 2.1 | 40 |
1,902 | data | https://github.com/meilisearch/meilisearch-python | ['search-engine', 'sdk', 'rust', 'api'] | Meilisearch is an open-source search engine | [] | [] | null | null | null | meilisearch/meilisearch-python | meilisearch-python | 372 | 119 | 7 | Python | https://www.meilisearch.com/ | Python wrapper for the Meilisearch API | meilisearch | 2024-01-16 | 2019-12-04 | 216 | 1.715415 | https://avatars.githubusercontent.com/u/43250847?v=4 | Python wrapper for the Meilisearch API | ['client', 'meilisearch', 'sdk'] | ['api', 'client', 'meilisearch', 'rust', 'sdk', 'search-engine'] | 2024-01-16 | [('typesense/typesense-python', 0.5989935994148254, 'data', 3), ('dmarx/psaw', 0.5636150240898132, 'data', 0), ('googleapis/google-api-python-client', 0.5505169034004211, 'util', 0), ('qdrant/qdrant-client', 0.538914680480957, 'util', 0), ('man-c/pycoingecko', 0.5315601229667664, 'crypto', 1), ('nv7-github/googlesearch... | 55 | 3 | null | 5.19 | 60 | 57 | 50 | 0 | 10 | 11 | 10 | 60 | 160 | 90 | 2.7 | 40 |
1,897 | llm | https://github.com/langchain-ai/langgraph | ['langchain', 'multi-actor', 'agents'] | LangGraph is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. | [] | [] | null | null | null | langchain-ai/langgraph | langgraph | 367 | 22 | 11 | Python | null | null | langchain-ai | 2024-01-14 | 2023-08-09 | 24 | 14.764368 | https://avatars.githubusercontent.com/u/126733545?v=4 | LangGraph is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. | [] | ['agents', 'langchain', 'multi-actor'] | 2024-01-09 | [('alphasecio/langchain-examples', 0.6478251814842224, 'llm', 1), ('gkamradt/langchain-tutorials', 0.6401094794273376, 'study', 0), ('hwchase17/langchain', 0.6307724118232727, 'llm', 1), ('prefecthq/langchain-prefect', 0.6234740018844604, 'llm', 1), ('logspace-ai/langflow', 0.6137604713439941, 'llm', 1), ('microsoft/au... | 3 | 1 | null | 3.21 | 30 | 24 | 5 | 0 | 0 | 15 | 15 | 30 | 6 | 90 | 0.2 | 40 |
1,698 | util | https://github.com/mkdocstrings/griffe | [] | null | [] | [] | null | null | null | mkdocstrings/griffe | griffe | 232 | 35 | 6 | Python | https://mkdocstrings.github.io/griffe | Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API. | mkdocstrings | 2024-01-13 | 2021-09-09 | 124 | 1.860252 | https://avatars.githubusercontent.com/u/75664361?v=4 | Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API. | ['api', 'breaking-changes', 'docs', 'mkdocstrings-collector', 'parser', 'signature'] | ['api', 'breaking-changes', 'docs', 'mkdocstrings-collector', 'parser', 'signature'] | 2023-12-06 | [('mitmproxy/pdoc', 0.6451767683029175, 'util', 2), ('landscapeio/prospector', 0.5961143970489502, 'util', 0), ('omry/omegaconf', 0.5919175744056702, 'util', 0), ('pdoc3/pdoc', 0.5867151618003845, 'util', 1), ('python-odin/odin', 0.5799145102500916, 'util', 0), ('eugeneyan/python-collab-template', 0.5616798400878906, '... | 26 | 6 | null | 5.1 | 15 | 10 | 29 | 0 | 22 | 38 | 22 | 16 | 43 | 90 | 2.7 | 40 |
277 | data | https://github.com/airbnb/knowledge-repo | [] | null | [] | [] | null | null | null | airbnb/knowledge-repo | knowledge-repo | 5,406 | 709 | 175 | Python | null | A next-generation curated knowledge sharing platform for data scientists and other technical professions. | airbnb | 2024-01-12 | 2016-08-17 | 388 | 13.902278 | https://avatars.githubusercontent.com/u/698437?v=4 | A next-generation curated knowledge sharing platform for data scientists and other technical professions. | ['data', 'data-analysis', 'data-science', 'knowledge'] | ['data', 'data-analysis', 'data-science', 'knowledge'] | 2023-04-17 | [('krzjoa/awesome-python-data-science', 0.5916482210159302, 'study', 2), ('drivendata/cookiecutter-data-science', 0.5590470433235168, 'template', 1), ('zenodo/zenodo', 0.5470719933509827, 'util', 0), ('saulpw/visidata', 0.5398018956184387, 'term', 0), ('airbytehq/airbyte', 0.5395446419715881, 'data', 2), ('merantix-mom... | 73 | 4 | null | 1.48 | 0 | 0 | 90 | 9 | 1 | 4 | 1 | 0 | 0 | 90 | 0 | 39 |
992 | finance | https://github.com/quantopian/pyfolio | [] | null | [] | [] | null | null | null | quantopian/pyfolio | pyfolio | 5,308 | 1,719 | 304 | Jupyter Notebook | https://quantopian.github.io/pyfolio | Portfolio and risk analytics in Python | quantopian | 2024-01-13 | 2015-06-01 | 452 | 11.739652 | https://avatars.githubusercontent.com/u/1393215?v=4 | Portfolio and risk analytics in Python | [] | [] | 2020-07-15 | [('ranaroussi/quantstats', 0.6542462706565857, 'finance', 0), ('goldmansachs/gs-quant', 0.6110407114028931, 'finance', 0), ('quantopian/empyrical', 0.6045350432395935, 'finance', 0), ('domokane/financepy', 0.6018176078796387, 'finance', 0), ('eleutherai/pyfra', 0.5698432922363281, 'ml', 0), ('gbeced/pyalgotrade', 0.558... | 59 | 4 | null | 0 | 13 | 5 | 105 | 47 | 0 | 2 | 2 | 13 | 10 | 90 | 0.8 | 39 |
387 | nlp | https://github.com/makcedward/nlpaug | [] | null | [] | [] | null | null | null | makcedward/nlpaug | nlpaug | 4,222 | 454 | 42 | Jupyter Notebook | https://makcedward.github.io/ | Data augmentation for NLP | makcedward | 2024-01-13 | 2019-03-21 | 253 | 16.640766 | null | Data augmentation for NLP | ['adversarial-attacks', 'adversarial-example', 'ai', 'artificial-intelligence', 'augmentation', 'data-science', 'machine-learning', 'ml', 'natural-language-processing', 'nlp'] | ['adversarial-attacks', 'adversarial-example', 'ai', 'artificial-intelligence', 'augmentation', 'data-science', 'machine-learning', 'ml', 'natural-language-processing', 'nlp'] | 2022-07-07 | [('explosion/spacy', 0.5835755467414856, 'nlp', 6), ('nltk/nltk', 0.5745749473571777, 'nlp', 3), ('aleju/imgaug', 0.5599479079246521, 'ml', 2), ('infinitylogesh/mutate', 0.5548282265663147, 'nlp', 0), ('explosion/spacy-llm', 0.5450884103775024, 'llm', 3), ('alibaba/easynlp', 0.5402962565422058, 'nlp', 2), ('explosion/t... | 33 | 6 | null | 0 | 0 | 0 | 59 | 19 | 0 | 5 | 5 | 0 | 0 | 90 | 0 | 39 |
13 | ml | https://github.com/districtdatalabs/yellowbrick | [] | null | [] | [] | null | null | null | districtdatalabs/yellowbrick | yellowbrick | 4,142 | 554 | 103 | Python | http://www.scikit-yb.org/ | Visual analysis and diagnostic tools to facilitate machine learning model selection. | districtdatalabs | 2024-01-12 | 2016-05-18 | 401 | 10.307145 | https://avatars.githubusercontent.com/u/7107115?v=4 | Visual analysis and diagnostic tools to facilitate machine learning model selection. | ['anaconda', 'estimator', 'machine-learning', 'matplotlib', 'model-selection', 'scikit-learn', 'visual-analysis', 'visualization', 'visualizer'] | ['anaconda', 'estimator', 'machine-learning', 'matplotlib', 'model-selection', 'scikit-learn', 'visual-analysis', 'visualization', 'visualizer'] | 2023-07-05 | [('automl/auto-sklearn', 0.6410435438156128, 'ml', 1), ('huggingface/evaluate', 0.6335552334785461, 'ml', 1), ('teamhg-memex/eli5', 0.6274762749671936, 'ml', 2), ('tensorflow/data-validation', 0.6272578239440918, 'ml-ops', 0), ('huggingface/datasets', 0.621246874332428, 'nlp', 1), ('wandb/client', 0.6167464256286621, '... | 113 | 2 | null | 0.08 | 1 | 0 | 93 | 6 | 0 | 3 | 3 | 1 | 1 | 90 | 1 | 39 |
0 | data | https://github.com/andialbrecht/sqlparse | [] | null | [] | [] | null | null | null | andialbrecht/sqlparse | sqlparse | 3,494 | 663 | 96 | Python | null | A non-validating SQL parser module for Python | andialbrecht | 2024-01-14 | 2012-04-18 | 614 | 5.682621 | null | A non-validating SQL parser module for Python | [] | [] | 2023-10-12 | [('tiangolo/sqlmodel', 0.6739121079444885, 'data', 0), ('sqlalchemy/sqlalchemy', 0.6582309007644653, 'data', 0), ('tobymao/sqlglot', 0.6332684755325317, 'data', 0), ('ibis-project/ibis', 0.6058615446090698, 'data', 0), ('macbre/sql-metadata', 0.5947306156158447, 'data', 0), ('collerek/ormar', 0.5768142938613892, 'data'... | 103 | 3 | null | 0.71 | 22 | 4 | 143 | 3 | 0 | 3 | 3 | 22 | 13 | 90 | 0.6 | 39 |
383 | llm | https://github.com/minimaxir/gpt-2-simple | [] | null | [] | [] | null | null | null | minimaxir/gpt-2-simple | gpt-2-simple | 3,358 | 681 | 77 | Python | null | Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts | minimaxir | 2024-01-13 | 2019-04-13 | 250 | 13.409013 | null | Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts | ['openai', 'tensorflow', 'text-generation', 'textgenrnn'] | ['openai', 'tensorflow', 'text-generation', 'textgenrnn'] | 2022-05-22 | [('minimaxir/aitextgen', 0.7194006443023682, 'llm', 0), ('huggingface/text-generation-inference', 0.6420865058898926, 'llm', 0), ('microsoft/pycodegpt', 0.629753589630127, 'llm', 0), ('karpathy/mingpt', 0.6132301688194275, 'llm', 0), ('xtekky/gpt4free', 0.604681670665741, 'llm', 1), ('infinitylogesh/mutate', 0.58394104... | 21 | 5 | null | 0 | 1 | 0 | 58 | 20 | 0 | 4 | 4 | 1 | 1 | 90 | 1 | 39 |
617 | util | https://github.com/suor/funcy | [] | null | [] | [] | null | null | null | suor/funcy | funcy | 3,206 | 140 | 71 | Python | null | A fancy and practical functional tools | suor | 2024-01-13 | 2012-10-13 | 589 | 5.439166 | null | A fancy and practical functional tools | ['functional-programming', 'utilities'] | ['functional-programming', 'utilities'] | 2023-12-17 | [('evhub/coconut', 0.6461945176124573, 'util', 1), ('pytoolz/toolz', 0.6413887143135071, 'util', 0), ('gondolav/pyfuncol', 0.5316035747528076, 'util', 0), ('pytoolz/cytoolz', 0.5295758247375488, 'util', 0), ('ethereum/eth-utils', 0.5216156244277954, 'crypto', 0)] | 33 | 2 | null | 0.56 | 17 | 13 | 137 | 1 | 0 | 5 | 5 | 17 | 16 | 90 | 0.9 | 39 |
1,412 | viz | https://github.com/netflix/flamescope | ['data-visualization'] | null | [] | [] | null | null | null | netflix/flamescope | flamescope | 2,951 | 181 | 342 | Python | null | FlameScope is a visualization tool for exploring different time ranges as Flame Graphs. | netflix | 2024-01-13 | 2018-03-30 | 304 | 9.689024 | https://avatars.githubusercontent.com/u/913567?v=4 | FlameScope is a visualization tool for exploring different time ranges as Flame Graphs. | [] | ['data-visualization'] | 2022-04-21 | [('mwaskom/seaborn', 0.5240253806114197, 'viz', 1), ('matplotlib/mplfinance', 0.5054373741149902, 'finance', 0)] | 26 | 6 | null | 0 | 1 | 0 | 71 | 21 | 0 | 0 | 0 | 1 | 4 | 90 | 4 | 39 |
1,475 | util | https://github.com/pexpect/pexpect | ['automation'] | null | [] | [] | null | null | null | pexpect/pexpect | pexpect | 2,476 | 475 | 91 | Python | http://pexpect.readthedocs.io/ | A Python module for controlling interactive programs in a pseudo-terminal | pexpect | 2024-01-12 | 2013-09-17 | 541 | 4.57671 | https://avatars.githubusercontent.com/u/5480175?v=4 | A Python module for controlling interactive programs in a pseudo-terminal | [] | ['automation'] | 2023-11-25 | [('tmbo/questionary', 0.6019250750541687, 'term', 0), ('google/python-fire', 0.5853911638259888, 'term', 0), ('python/cpython', 0.5793547630310059, 'util', 0), ('pallets/click', 0.5701817870140076, 'term', 0), ('jquast/blessed', 0.5613400340080261, 'term', 0), ('google/pyglove', 0.557771623134613, 'util', 0), ('urwid/u... | 108 | 5 | null | 0.56 | 13 | 5 | 126 | 2 | 1 | 2 | 1 | 13 | 14 | 90 | 1.1 | 39 |
892 | ml | https://github.com/shankarpandala/lazypredict | [] | null | [] | [] | null | null | null | shankarpandala/lazypredict | lazypredict | 2,347 | 276 | 27 | Python | null | Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning | shankarpandala | 2024-01-13 | 2019-11-16 | 219 | 10.695964 | null | Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning | ['automl', 'classification', 'machine-learning', 'regression'] | ['automl', 'classification', 'machine-learning', 'regression'] | 2022-09-28 | [('microsoft/flaml', 0.6851475834846497, 'ml', 4), ('microsoft/nni', 0.5795509815216064, 'ml', 2), ('winedarksea/autots', 0.5729676485061646, 'time-series', 2), ('automl/auto-sklearn', 0.5726633667945862, 'ml', 1), ('rafiqhasan/auto-tensorflow', 0.5576849579811096, 'ml-dl', 2), ('nccr-itmo/fedot', 0.5503329038619995, '... | 17 | 7 | null | 0 | 10 | 2 | 51 | 16 | 0 | 3 | 3 | 10 | 6 | 90 | 0.6 | 39 |
1,843 | util | https://github.com/pndurette/gtts | ['tts'] | null | [] | [] | null | null | null | pndurette/gtts | gTTS | 2,078 | 347 | 66 | Python | http://gtts.readthedocs.org/ | Python library and CLI tool to interface with Google Translate's text-to-speech API | pndurette | 2024-01-14 | 2014-05-15 | 506 | 4.10093 | null | Python library and CLI tool to interface with Google Translate's text-to-speech API | ['cli', 'gtts', 'speech', 'speech-api', 'text-to-speech', 'tts'] | ['cli', 'gtts', 'speech', 'speech-api', 'text-to-speech', 'tts'] | 2024-01-07 | [('googleapis/python-speech', 0.7090864181518555, 'ml', 0), ('uberi/speech_recognition', 0.7022308707237244, 'ml', 0), ('nateshmbhat/pyttsx3', 0.6920114159584045, 'util', 1), ('facebookresearch/seamless_communication', 0.5938905477523804, 'nlp', 1), ('espnet/espnet', 0.5670027732849121, 'nlp', 0), ('pemistahl/lingua-py... | 37 | 2 | null | 0.73 | 15 | 15 | 118 | 0 | 4 | 4 | 4 | 15 | 16 | 90 | 1.1 | 39 |
816 | data | https://github.com/uqfoundation/dill | [] | null | [] | [] | 1 | null | null | uqfoundation/dill | dill | 2,062 | 208 | 23 | Python | http://dill.rtfd.io | serialize all of Python | uqfoundation | 2024-01-13 | 2013-06-28 | 552 | 3.731644 | https://avatars.githubusercontent.com/u/2855931?v=4 | serialize all of Python | [] | [] | 2024-01-01 | [('jsonpickle/jsonpickle', 0.601097047328949, 'data', 0), ('marshmallow-code/marshmallow', 0.5810075402259827, 'util', 0), ('instagram/libcst', 0.5361902713775635, 'util', 0), ('python-odin/odin', 0.5188406705856323, 'util', 0), ('replicate/replicate-python', 0.5080131888389587, 'ml', 0), ('mkdocstrings/griffe', 0.5062... | 43 | 5 | null | 0.65 | 32 | 12 | 128 | 0 | 1 | 2 | 1 | 33 | 31 | 90 | 0.9 | 39 |
693 | util | https://github.com/grantjenks/python-diskcache | [] | null | [] | [] | null | null | null | grantjenks/python-diskcache | python-diskcache | 1,953 | 151 | 22 | Python | http://www.grantjenks.com/docs/diskcache/ | Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python. | grantjenks | 2024-01-14 | 2016-02-03 | 416 | 4.685058 | null | Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python. | ['cache', 'filesystem', 'key-value-store', 'persistence'] | ['cache', 'filesystem', 'key-value-store', 'persistence'] | 2023-08-31 | [('python-cachier/cachier', 0.6893970966339111, 'perf', 1), ('dgilland/cacheout', 0.6435301899909973, 'perf', 0), ('aio-libs/aiocache', 0.6346278786659241, 'data', 1), ('long2ice/fastapi-cache', 0.6009683609008789, 'web', 1), ('erotemic/ubelt', 0.5623111724853516, 'util', 0), ('klen/py-frameworks-bench', 0.542073190212... | 24 | 3 | null | 0.56 | 12 | 3 | 97 | 5 | 0 | 11 | 11 | 12 | 28 | 90 | 2.3 | 39 |
32 | nlp | https://github.com/jamesturk/jellyfish | [] | null | [] | [] | null | null | null | jamesturk/jellyfish | jellyfish | 1,944 | 160 | 44 | Jupyter Notebook | https://jamesturk.github.io/jellyfish/ | 🪼 a python library for doing approximate and phonetic matching of strings. | jamesturk | 2024-01-12 | 2010-07-09 | 707 | 2.747426 | null | 🪼 a python library for doing approximate and phonetic matching of strings. | ['fuzzy-search', 'hamming', 'jaro-winkler', 'levenshtein', 'metaphone', 'soundex'] | ['fuzzy-search', 'hamming', 'jaro-winkler', 'levenshtein', 'metaphone', 'soundex'] | 2023-11-17 | [('life4/textdistance', 0.6177361011505127, 'nlp', 1), ('uberi/speech_recognition', 0.545852541923523, 'ml', 0), ('pytoolz/toolz', 0.5310186147689819, 'util', 0), ('spotify/pedalboard', 0.5257704854011536, 'util', 0)] | 31 | 7 | null | 1.67 | 13 | 10 | 165 | 2 | 0 | 4 | 4 | 13 | 22 | 90 | 1.7 | 39 |
1,333 | util | https://github.com/carpedm20/emoji | [] | null | [] | [] | null | null | null | carpedm20/emoji | emoji | 1,776 | 299 | 26 | Python | null | emoji terminal output for Python | carpedm20 | 2024-01-13 | 2014-08-18 | 493 | 3.60139 | null | emoji terminal output for Python | ['emoji'] | ['emoji'] | 2023-12-05 | [('trananhkma/fucking-awesome-python', 0.5481189489364624, 'study', 0), ('tartley/colorama', 0.5459503531455994, 'util', 0), ('willmcgugan/rich', 0.5216153264045715, 'term', 1), ('jquast/blessed', 0.5172060132026672, 'term', 0)] | 65 | 2 | null | 0.77 | 6 | 3 | 115 | 1 | 8 | 3 | 8 | 6 | 11 | 90 | 1.8 | 39 |
1,855 | template | https://github.com/cjolowicz/cookiecutter-hypermodern-python | ['hypermodern'] | Cookiecutter template for a Python package based on the Hypermodern Python article series. | [] | [] | null | null | null | cjolowicz/cookiecutter-hypermodern-python | cookiecutter-hypermodern-python | 1,665 | 243 | 19 | Python | http://cookiecutter-hypermodern-python.readthedocs.io/ | Hypermodern Python Cookiecutter | cjolowicz | 2024-01-11 | 2020-02-07 | 207 | 8.021335 | null | Hypermodern Python Cookiecutter | [] | ['hypermodern'] | 2023-07-08 | [('ionelmc/cookiecutter-pylibrary', 0.6513864994049072, 'template', 0), ('lyz-code/cookiecutter-python-project', 0.6242104768753052, 'template', 0), ('tedivm/robs_awesome_python_template', 0.5808916687965393, 'template', 0), ('giswqs/pypackage', 0.5635570883750916, 'template', 0)] | 21 | 6 | null | 1.04 | 8 | 1 | 48 | 6 | 0 | 6 | 6 | 8 | 4 | 90 | 0.5 | 39 |
1,303 | sim | https://github.com/microsoft/promptcraft-robotics | ['prompt-engineering'] | null | [] | [] | null | null | null | microsoft/promptcraft-robotics | PromptCraft-Robotics | 1,587 | 167 | 40 | Python | https://aka.ms/ChatGPT-Robotics | Community for applying LLMs to robotics and a robot simulator with ChatGPT integration | microsoft | 2024-01-13 | 2023-02-08 | 50 | 31.205056 | https://avatars.githubusercontent.com/u/6154722?v=4 | Community for applying LLMs to robotics and a robot simulator with ChatGPT integration | ['airsim', 'chatgpt', 'llm', 'prompt-engineering', 'robotics', 'simulation'] | ['airsim', 'chatgpt', 'llm', 'prompt-engineering', 'robotics', 'simulation'] | 2023-04-19 | [('nomic-ai/gpt4all', 0.6439793109893799, 'llm', 0), ('hwchase17/langchain', 0.6214913129806519, 'llm', 0), ('microsoft/promptflow', 0.6192827224731445, 'llm', 3), ('deep-diver/llm-as-chatbot', 0.6085308194160461, 'llm', 0), ('embedchain/embedchain', 0.596112847328186, 'llm', 2), ('microsoft/chatgpt-robot-manipulation-... | 4 | 1 | null | 0.1 | 3 | 2 | 11 | 9 | 1 | 1 | 1 | 3 | 3 | 90 | 1 | 39 |
350 | ml | https://github.com/jina-ai/finetuner | [] | null | [] | [] | null | null | null | jina-ai/finetuner | finetuner | 1,373 | 64 | 25 | Python | https://finetuner.jina.ai | :dart: Task-oriented embedding tuning for BERT, CLIP, etc. | jina-ai | 2024-01-13 | 2021-08-11 | 128 | 10.655211 | https://avatars.githubusercontent.com/u/60539444?v=4 | :dart: Task-oriented embedding tuning for BERT, CLIP, etc. | ['bert', 'few-shot-learning', 'fine-tuning', 'finetuning', 'jina', 'metric-learning', 'negative-sampling', 'neural-search', 'openai-clip', 'pretrained-models', 'siamese-network', 'similarity-learning', 'transfer-learning', 'triplet-loss'] | ['bert', 'few-shot-learning', 'fine-tuning', 'finetuning', 'jina', 'metric-learning', 'negative-sampling', 'neural-search', 'openai-clip', 'pretrained-models', 'siamese-network', 'similarity-learning', 'transfer-learning', 'triplet-loss'] | 2023-07-26 | [('jina-ai/clip-as-service', 0.7554095387458801, 'nlp', 2), ('paddlepaddle/paddlenlp', 0.6416314840316772, 'llm', 3), ('llmware-ai/llmware', 0.6378600597381592, 'llm', 1), ('extreme-bert/extreme-bert', 0.6179499626159668, 'llm', 1), ('alibaba/easynlp', 0.6169459819793701, 'nlp', 3), ('ukplab/sentence-transformers', 0.5... | 35 | 3 | null | 1.06 | 8 | 6 | 30 | 6 | 10 | 17 | 10 | 8 | 1 | 90 | 0.1 | 39 |
509 | typing | https://github.com/agronholm/typeguard | ['typechecker', 'code-quality'] | null | [] | [] | null | null | null | agronholm/typeguard | typeguard | 1,372 | 101 | 22 | Python | null | Run-time type checker for Python | agronholm | 2024-01-13 | 2015-12-27 | 422 | 3.248985 | null | Run-time type checker for Python | [] | ['code-quality', 'typechecker'] | 2024-01-09 | [('microsoft/pyright', 0.9137517213821411, 'typing', 2), ('facebook/pyre-check', 0.8064729571342468, 'typing', 2), ('google/pytype', 0.7289842367172241, 'typing', 2), ('python/mypy', 0.7131239771842957, 'typing', 2), ('instagram/monkeytype', 0.6599376201629639, 'typing', 1), ('pycqa/mccabe', 0.5824611186981201, 'util',... | 33 | 4 | null | 3.96 | 19 | 11 | 98 | 0 | 2 | 8 | 2 | 19 | 21 | 90 | 1.1 | 39 |
900 | viz | https://github.com/datapane/datapane | [] | null | [] | [] | null | null | null | datapane/datapane | datapane | 1,330 | 96 | 19 | Python | https://datapane.com | Build and share data reports in 100% Python | datapane | 2024-01-13 | 2020-04-23 | 196 | 6.761075 | https://avatars.githubusercontent.com/u/55440415?v=4 | Build and share data reports in 100% Python | ['dashboard', 'data-visualization', 'reporting'] | ['dashboard', 'data-visualization', 'reporting'] | 2023-09-07 | [('federicoceratto/dashing', 0.6180770993232727, 'term', 1), ('mwaskom/seaborn', 0.5832452774047852, 'viz', 1), ('plotly/dash', 0.5667321681976318, 'viz', 1), ('holoviz/panel', 0.5654339790344238, 'viz', 0), ('altair-viz/altair', 0.556462287902832, 'viz', 0), ('pytables/pytables', 0.5492084622383118, 'data', 0), ('lux-... | 13 | 4 | null | 2.87 | 1 | 1 | 45 | 4 | 0 | 15 | 15 | 1 | 1 | 90 | 1 | 39 |
163 | llm | https://github.com/explosion/spacy-transformers | [] | null | [] | [] | null | null | null | explosion/spacy-transformers | spacy-transformers | 1,306 | 162 | 32 | Python | https://spacy.io/usage/embeddings-transformers | 🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy | explosion | 2024-01-13 | 2019-07-26 | 235 | 5.543966 | https://avatars.githubusercontent.com/u/20011530?v=4 | 🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy | ['bert', 'google', 'gpt-2', 'huggingface', 'language-model', 'machine-learning', 'natural-language-processing', 'natural-language-understanding', 'nlp', 'openai', 'pytorch', 'pytorch-model', 'spacy', 'spacy-extension', 'spacy-pipeline', 'transfer-learning', 'xlnet'] | ['bert', 'google', 'gpt-2', 'huggingface', 'language-model', 'machine-learning', 'natural-language-processing', 'natural-language-understanding', 'nlp', 'openai', 'pytorch', 'pytorch-model', 'spacy', 'spacy-extension', 'spacy-pipeline', 'transfer-learning', 'xlnet'] | 2023-12-19 | [('explosion/spacy-models', 0.6662450432777405, 'nlp', 4), ('huggingface/transformers', 0.6527365446090698, 'nlp', 6), ('bigscience-workshop/megatron-deepspeed', 0.6363678574562073, 'llm', 0), ('microsoft/megatron-deepspeed', 0.6363678574562073, 'llm', 0), ('extreme-bert/extreme-bert', 0.6331859230995178, 'llm', 6), ('... | 22 | 6 | null | 0.87 | 6 | 6 | 54 | 1 | 10 | 11 | 10 | 6 | 1 | 90 | 0.2 | 39 |
446 | gis | https://github.com/pysal/pysal | [] | null | [] | [] | 1 | null | null | pysal/pysal | pysal | 1,236 | 303 | 84 | Jupyter Notebook | http://pysal.org/pysal | PySAL: Python Spatial Analysis Library Meta-Package | pysal | 2024-01-14 | 2013-02-19 | 571 | 2.164623 | https://avatars.githubusercontent.com/u/3769919?v=4 | PySAL: Python Spatial Analysis Library Meta-Package | [] | [] | 2023-12-11 | [('makepath/xarray-spatial', 0.6753366589546204, 'gis', 0), ('earthlab/earthpy', 0.6416592597961426, 'gis', 0), ('artelys/geonetworkx', 0.625034749507904, 'gis', 0), ('toblerity/rtree', 0.6110436320304871, 'gis', 0), ('scikit-geometry/scikit-geometry', 0.5866171717643738, 'gis', 0), ('albahnsen/pycircular', 0.581803023... | 78 | 6 | null | 0.15 | 7 | 5 | 133 | 1 | 3 | 3 | 3 | 7 | 22 | 90 | 3.1 | 39 |
1,447 | ml-rl | https://github.com/humancompatibleai/imitation | [] | null | [] | [] | null | null | null | humancompatibleai/imitation | imitation | 1,050 | 198 | 17 | Python | https://imitation.readthedocs.io/ | Clean PyTorch implementations of imitation and reward learning algorithms | humancompatibleai | 2024-01-14 | 2018-12-08 | 268 | 3.911655 | https://avatars.githubusercontent.com/u/33107497?v=4 | Clean PyTorch implementations of imitation and reward learning algorithms | ['gymnasium', 'imitation-learning', 'inverse-reinforcement-learning', 'reward-learning'] | ['gymnasium', 'imitation-learning', 'inverse-reinforcement-learning', 'reward-learning'] | 2023-12-15 | [('thu-ml/tianshou', 0.7333576679229736, 'ml-rl', 1), ('pytorch/rl', 0.6811489462852478, 'ml-rl', 0), ('denys88/rl_games', 0.6343870759010315, 'ml-rl', 0), ('nvidia-omniverse/isaacgymenvs', 0.617064356803894, 'sim', 0), ('nvidia-omniverse/omniisaacgymenvs', 0.6052762866020203, 'sim', 0), ('openai/baselines', 0.58376628... | 34 | 4 | null | 1.12 | 40 | 27 | 62 | 1 | 2 | 2 | 2 | 40 | 65 | 90 | 1.6 | 39 |
813 | viz | https://github.com/facultyai/dash-bootstrap-components | [] | null | [] | [] | null | null | null | facultyai/dash-bootstrap-components | dash-bootstrap-components | 1,036 | 220 | 23 | JavaScript | https://dash-bootstrap-components.opensource.faculty.ai/ | Bootstrap components for Plotly Dash | facultyai | 2024-01-12 | 2018-09-21 | 279 | 3.705672 | https://avatars.githubusercontent.com/u/10586141?v=4 | Bootstrap components for Plotly Dash | ['bootstrap', 'dashboards', 'julia', 'plotly-dash', 'r'] | ['bootstrap', 'dashboards', 'julia', 'plotly-dash', 'r'] | 2024-01-06 | [('plotly/plotly.py', 0.5394929051399231, 'viz', 1)] | 31 | 2 | null | 1.06 | 16 | 10 | 65 | 0 | 14 | 31 | 14 | 16 | 20 | 90 | 1.2 | 39 |
1,312 | llm | https://github.com/nomic-ai/pygpt4all | [] | null | [] | [] | null | null | null | nomic-ai/pygpt4all | pygpt4all | 1,019 | 162 | 13 | C++ | https://nomic-ai.github.io/pygpt4all/ | Official supported Python bindings for llama.cpp + gpt4all | nomic-ai | 2024-01-12 | 2023-04-03 | 43 | 23.619205 | https://avatars.githubusercontent.com/u/102670180?v=4 | Official supported Python bindings for llama.cpp + gpt4all | [] | [] | 2023-05-12 | [('abetlen/llama-cpp-python', 0.7292018532752991, 'llm', 0), ('numba/llvmlite', 0.5271598100662231, 'util', 0)] | 12 | 3 | null | 1.48 | 0 | 0 | 10 | 8 | 5 | 6 | 5 | 0 | 0 | 90 | 0 | 39 |
614 | jupyter | https://github.com/nbqa-dev/nbqa | [] | null | [] | [] | null | null | null | nbqa-dev/nbqa | nbQA | 924 | 36 | 8 | Python | https://nbqa.readthedocs.io/en/latest/index.html | Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks | nbqa-dev | 2024-01-12 | 2020-07-11 | 185 | 4.983051 | https://avatars.githubusercontent.com/u/69012749?v=4 | Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks | ['black', 'codequality', 'doctest', 'flake8', 'isort', 'jupyter-notebook', 'lint', 'mypy', 'pre-commit', 'pre-commit-hook', 'pylint', 'pyupgrade', 'ruff', 'yapf'] | ['black', 'codequality', 'doctest', 'flake8', 'isort', 'jupyter-notebook', 'lint', 'mypy', 'pre-commit', 'pre-commit-hook', 'pylint', 'pyupgrade', 'ruff', 'yapf'] | 2023-11-27 | [('mwouts/jupytext', 0.5719586610794067, 'jupyter', 1), ('psf/black', 0.5564059019088745, 'util', 2), ('cohere-ai/notebooks', 0.550182044506073, 'llm', 0), ('jupyter/nbformat', 0.5436616539955139, 'jupyter', 0), ('jupyter/nbdime', 0.5352687239646912, 'jupyter', 1), ('grantjenks/blue', 0.5135296583175659, 'util', 2), ('... | 25 | 6 | null | 0.6 | 6 | 5 | 43 | 2 | 0 | 25 | 25 | 6 | 6 | 90 | 1 | 39 |
475 | pandas | https://github.com/holoviz/hvplot | [] | null | [] | [] | null | null | null | holoviz/hvplot | hvplot | 874 | 94 | 23 | Python | https://hvplot.holoviz.org | A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews | holoviz | 2024-01-12 | 2018-03-19 | 306 | 2.854876 | https://avatars.githubusercontent.com/u/51678735?v=4 | A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews | ['datashader', 'holoviews', 'holoviz', 'plotting'] | ['datashader', 'holoviews', 'holoviz', 'plotting'] | 2023-12-22 | [('matplotlib/matplotlib', 0.7096381187438965, 'viz', 1), ('cuemacro/chartpy', 0.6870236992835999, 'viz', 1), ('holoviz/holoviews', 0.682068407535553, 'viz', 3), ('man-group/dtale', 0.6696478724479675, 'viz', 0), ('holoviz/holoviz', 0.6662247776985168, 'viz', 3), ('holoviz/panel', 0.6510308980941772, 'viz', 2), ('plotl... | 45 | 3 | null | 1.81 | 95 | 37 | 71 | 1 | 3 | 21 | 3 | 95 | 193 | 90 | 2 | 39 |
481 | gis | https://github.com/sentinel-hub/sentinelhub-py | [] | null | [] | [] | null | null | null | sentinel-hub/sentinelhub-py | sentinelhub-py | 753 | 237 | 49 | Python | http://sentinelhub-py.readthedocs.io/en/latest/ | Download and process satellite imagery in Python using Sentinel Hub services. | sentinel-hub | 2024-01-12 | 2017-05-17 | 349 | 2.152307 | https://avatars.githubusercontent.com/u/31830596?v=4 | Download and process satellite imagery in Python using Sentinel Hub services. | ['aws', 'ogc-services', 'satellite-imagery', 'sentinel-hub'] | ['aws', 'ogc-services', 'satellite-imagery', 'sentinel-hub'] | 2024-01-10 | [('radiantearth/radiant-mlhub', 0.6164925694465637, 'gis', 1), ('pytroll/satpy', 0.6114635467529297, 'gis', 0), ('sentinelsat/sentinelsat', 0.5519406199455261, 'gis', 1), ('boto/boto3', 0.5275383591651917, 'util', 1), ('cuemacro/findatapy', 0.5211452841758728, 'finance', 0)] | 46 | 3 | null | 2.13 | 38 | 34 | 81 | 0 | 12 | 9 | 12 | 38 | 45 | 90 | 1.2 | 39 |
1,182 | nlp | https://github.com/pemistahl/lingua-py | [] | null | [] | [] | null | null | null | pemistahl/lingua-py | lingua-py | 747 | 37 | 11 | Python | null | The most accurate natural language detection library for Python, suitable for short text and mixed-language text | pemistahl | 2024-01-14 | 2021-07-13 | 133 | 5.616541 | null | The most accurate natural language detection library for Python, suitable for short text and mixed-language text | ['language-classification', 'language-detection', 'language-identification', 'language-recognition', 'natural-language-processing', 'nlp'] | ['language-classification', 'language-detection', 'language-identification', 'language-recognition', 'natural-language-processing', 'nlp'] | 2023-12-12 | [('uberi/speech_recognition', 0.6296498775482178, 'ml', 0), ('allenai/allennlp', 0.6268466711044312, 'nlp', 2), ('explosion/spacy', 0.5869116187095642, 'nlp', 2), ('sloria/textblob', 0.5679237246513367, 'nlp', 2), ('pndurette/gtts', 0.5668443441390991, 'util', 0), ('pypy/pypy', 0.5571848154067993, 'util', 0), ('flairnl... | 5 | 2 | null | 0.73 | 41 | 30 | 30 | 1 | 6 | 6 | 6 | 42 | 88 | 90 | 2.1 | 39 |
634 | data | https://github.com/dask/fastparquet | [] | null | [] | [] | null | null | null | dask/fastparquet | fastparquet | 707 | 173 | 20 | Python | null | python implementation of the parquet columnar file format. | dask | 2024-01-10 | 2015-11-06 | 429 | 1.645826 | https://avatars.githubusercontent.com/u/17131925?v=4 | python implementation of the parquet columnar file format. | [] | [] | 2023-12-22 | [('ktrueda/parquet-tools', 0.5958738327026367, 'data', 0), ('crunch-io/lazycsv', 0.5394817590713501, 'perf', 0), ('jupyter/nbformat', 0.5203571915626526, 'jupyter', 0), ('google/yapf', 0.5155162811279297, 'util', 0), ('wireservice/csvkit', 0.5032108426094055, 'util', 0)] | 93 | 5 | null | 0.85 | 30 | 25 | 100 | 1 | 0 | 6 | 6 | 30 | 69 | 90 | 2.3 | 39 |
1,584 | util | https://github.com/barracuda-fsh/pyobd | ['diagnostics'] | null | [] | [] | null | null | null | barracuda-fsh/pyobd | pyobd | 678 | 20 | 16 | Python | null | open source obd2 car diagnostics program - reuploaded | barracuda-fsh | 2024-01-13 | 2023-08-18 | 23 | 28.763636 | null | open source obd2 car diagnostics program - reuploaded | [] | ['diagnostics'] | 2023-09-17 | [] | 2 | 0 | null | 0.29 | 1 | 1 | 5 | 4 | 2 | 5 | 2 | 1 | 3 | 90 | 3 | 39 |
1,803 | ml | https://github.com/awslabs/python-deequ | ['aws', 'data-quality', 'spark'] | Python API for Deequ, a library built on Spark for defining "unit tests for data", which measure data quality in large datasets | [] | [] | null | null | null | awslabs/python-deequ | python-deequ | 618 | 169 | 19 | Python | null | Python API for Deequ | awslabs | 2024-01-12 | 2020-11-09 | 168 | 3.675446 | https://avatars.githubusercontent.com/u/3299148?v=4 | Python API for Deequ | [] | ['aws', 'data-quality', 'spark'] | 2024-01-08 | [('pynamodb/pynamodb', 0.6457101702690125, 'data', 1), ('boto/boto3', 0.5848604440689087, 'util', 1), ('geeogi/async-python-lambda-template', 0.5767794251441956, 'template', 0), ('aws/aws-sdk-pandas', 0.5529321432113647, 'pandas', 1), ('nficano/python-lambda', 0.542289137840271, 'util', 1), ('datastax/python-driver', 0... | 18 | 5 | null | 0.35 | 37 | 7 | 39 | 0 | 4 | 2 | 4 | 37 | 61 | 90 | 1.6 | 39 |
1,444 | util | https://github.com/pypa/build | ['build'] | null | [] | [] | null | null | null | pypa/build | build | 605 | 116 | 25 | Python | https://build.pypa.io | A simple, correct Python build frontend | pypa | 2024-01-13 | 2020-05-10 | 194 | 3.113971 | https://avatars.githubusercontent.com/u/647025?v=4 | A simple, correct Python build frontend | [] | ['build'] | 2023-12-21 | [('pypa/hatch', 0.5941884517669678, 'util', 1), ('r0x0r/pywebview', 0.5934130549430847, 'gui', 0), ('tezromach/python-package-template', 0.5865764021873474, 'template', 0), ('pypa/pipenv', 0.5441533327102661, 'util', 0), ('pallets/flask', 0.5296503901481628, 'web', 0), ('ofek/pyapp', 0.5296021103858948, 'util', 1), ('e... | 48 | 6 | null | 2.04 | 42 | 26 | 45 | 1 | 2 | 6 | 2 | 42 | 77 | 90 | 1.8 | 39 |
779 | util | https://github.com/gefyrahq/gefyra | [] | null | [] | [] | null | null | null | gefyrahq/gefyra | gefyra | 597 | 27 | 9 | Python | https://gefyra.dev | Blazingly-fast :rocket:, rock-solid, local application development :arrow_right: with Kubernetes. | gefyrahq | 2024-01-09 | 2021-11-18 | 114 | 5.204234 | https://avatars.githubusercontent.com/u/101178654?v=4 | Blazingly-fast 🚀, rock-solid, local application development :arrow_right: with Kubernetes. | ['coding', 'container', 'containers', 'developer-tool', 'development', 'docker', 'k8s', 'kubernetes', 'tunnel'] | ['coding', 'container', 'containers', 'developer-tool', 'development', 'docker', 'k8s', 'kubernetes', 'tunnel'] | 2024-01-02 | [('aquasecurity/trivy', 0.6041578054428101, 'security', 3), ('bodywork-ml/bodywork-core', 0.5484521389007568, 'ml-ops', 1), ('orchest/orchest', 0.5443967580795288, 'ml-ops', 2), ('astronomer/astronomer', 0.5323020815849304, 'ml-ops', 2), ('flyteorg/flyte', 0.5291821956634521, 'ml-ops', 1), ('backtick-se/cowait', 0.5228... | 13 | 1 | null | 9.48 | 56 | 33 | 26 | 0 | 14 | 30 | 14 | 56 | 34 | 90 | 0.6 | 39 |
1,702 | util | https://github.com/platformdirs/platformdirs | [] | null | [] | [] | null | null | null | platformdirs/platformdirs | platformdirs | 425 | 42 | 9 | Python | https://platformdirs.readthedocs.io | A small Python module for determining appropriate platform-specific dirs, e.g. a "user data dir". | platformdirs | 2024-01-12 | 2021-05-13 | 141 | 2.998992 | https://avatars.githubusercontent.com/u/84131773?v=4 | A small Python module for determining appropriate platform-specific dirs, e.g. a "user data dir". | ['appdirs', 'configuration', 'cross-platform', 'xdg', 'xdg-user-dirs'] | ['appdirs', 'configuration', 'cross-platform', 'xdg', 'xdg-user-dirs'] | 2024-01-10 | [('fsspec/filesystem_spec', 0.5413647294044495, 'util', 0), ('erotemic/ubelt', 0.5185686945915222, 'util', 1)] | 66 | 5 | null | 1.67 | 23 | 21 | 33 | 0 | 21 | 17 | 21 | 23 | 20 | 90 | 0.9 | 39 |
1,784 | llm | https://github.com/tigerlab-ai/tiger | [] | null | [] | [] | null | null | null | tigerlab-ai/tiger | tiger | 356 | 24 | 10 | Jupyter Notebook | https://www.tigerlab.ai | Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning) | tigerlab-ai | 2024-01-12 | 2023-10-23 | 14 | 25.171717 | null | Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning) | ['ai-safety', 'aisafety', 'classification', 'data-augmentation', 'fine-tuning', 'large-language-models', 'llm', 'llm-training', 'rag'] | ['ai-safety', 'aisafety', 'classification', 'data-augmentation', 'fine-tuning', 'large-language-models', 'llm', 'llm-training', 'rag'] | 2023-12-02 | [('alpha-vllm/llama2-accessory', 0.7141748666763306, 'llm', 1), ('argilla-io/argilla', 0.6661051511764526, 'nlp', 1), ('hiyouga/llama-factory', 0.6649466753005981, 'llm', 3), ('hiyouga/llama-efficient-tuning', 0.6649465560913086, 'llm', 3), ('hegelai/prompttools', 0.6615456342697144, 'llm', 1), ('h2oai/h2o-llmstudio', ... | 8 | 1 | null | 2.25 | 19 | 12 | 3 | 1 | 0 | 0 | 0 | 19 | 8 | 90 | 0.4 | 39 |
1,539 | llm | https://github.com/tsinghuadatabasegroup/db-gpt | ['language-model', 'dba'] | LLM As Database Administrator | [] | [] | null | null | null | tsinghuadatabasegroup/db-gpt | DB-GPT | 327 | 45 | 8 | Python | http://dbgpt.dbmind.cn/ | An LLM Based Diagnosis System (https://arxiv.org/pdf/2312.01454.pdf) | tsinghuadatabasegroup | 2024-01-14 | 2023-04-02 | 43 | 7.554455 | null | An LLM Based Diagnosis System (https://arxiv.org/pdf/2312.01454.pdf) | ['database', 'dba', 'diagnosis', 'tuning'] | ['database', 'dba', 'diagnosis', 'language-model', 'tuning'] | 2024-01-13 | [('epfllm/meditron', 0.5455986261367798, 'llm', 1), ('hiyouga/llama-factory', 0.5159657001495361, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5159655809402466, 'llm', 1), ('microsoft/torchscale', 0.5131277441978455, 'llm', 0), ('young-geng/easylm', 0.5007253289222717, 'llm', 1)] | 6 | 3 | null | 7.5 | 53 | 45 | 10 | 0 | 0 | 0 | 0 | 53 | 72 | 90 | 1.4 | 39 |
1,657 | data | https://github.com/unstructured-io/unstructured-api | ['unstructured', 'api'] | API for Open-Source Pre-Processing Tools for Unstructured Data | [] | [] | null | null | null | unstructured-io/unstructured-api | unstructured-api | 231 | 50 | 17 | Python | null | null | unstructured-io | 2024-01-09 | 2022-12-09 | 59 | 3.877698 | https://avatars.githubusercontent.com/u/108372208?v=4 | API for Open-Source Pre-Processing Tools for Unstructured Data | [] | ['api', 'unstructured'] | 2024-01-12 | [('unstructured-io/pipeline-sec-filings', 0.5717188715934753, 'data', 1), ('simonw/datasette', 0.5543832778930664, 'data', 0), ('saulpw/visidata', 0.536859393119812, 'term', 0)] | 23 | 3 | null | 3.85 | 61 | 55 | 13 | 0 | 29 | 27 | 29 | 61 | 57 | 90 | 0.9 | 39 |
723 | ml | https://github.com/cleverhans-lab/cleverhans | [] | null | [] | [] | null | null | null | cleverhans-lab/cleverhans | cleverhans | 6,000 | 1,394 | 190 | Jupyter Notebook | null | An adversarial example library for constructing attacks, building defenses, and benchmarking both | cleverhans-lab | 2024-01-13 | 2016-09-15 | 384 | 15.59599 | https://avatars.githubusercontent.com/u/51966688?v=4 | An adversarial example library for constructing attacks, building defenses, and benchmarking both | ['benchmarking', 'machine-learning', 'security'] | ['benchmarking', 'machine-learning', 'security'] | 2023-01-31 | [('borealisai/advertorch', 0.7116900086402893, 'ml', 3), ('huggingface/evaluate', 0.5058858394622803, 'ml', 1), ('zorzi-s/projectregularization', 0.5036975741386414, 'gis', 0)] | 131 | 3 | null | 0.02 | 1 | 0 | 89 | 12 | 0 | 1 | 1 | 1 | 0 | 90 | 0 | 38 |
565 | ml | https://github.com/mdbloice/augmentor | [] | null | [] | [] | null | null | null | mdbloice/augmentor | Augmentor | 4,997 | 870 | 124 | Python | https://augmentor.readthedocs.io/en/stable | Image augmentation library in Python for machine learning. | mdbloice | 2024-01-13 | 2016-03-01 | 413 | 12.099274 | null | Image augmentation library in Python for machine learning. | ['augmentation', 'deep-learning', 'machine-learning', 'neural-networks'] | ['augmentation', 'deep-learning', 'machine-learning', 'neural-networks'] | 2023-03-29 | [('aleju/imgaug', 0.7141932845115662, 'ml', 3), ('lightly-ai/lightly', 0.7019970417022705, 'ml', 2), ('albumentations-team/albumentations', 0.6705105900764465, 'ml-dl', 3), ('facebookresearch/augly', 0.6478663086891174, 'data', 0), ('pytorch/ignite', 0.5899521708488464, 'ml-dl', 2), ('fepegar/torchio', 0.58964943885803... | 23 | 3 | null | 0.1 | 2 | 1 | 96 | 10 | 0 | 3 | 3 | 2 | 1 | 90 | 0.5 | 38 |
1,213 | ml-interpretability | https://github.com/tensorflow/lucid | [] | null | [] | [] | null | null | null | tensorflow/lucid | lucid | 4,592 | 659 | 159 | Jupyter Notebook | null | A collection of infrastructure and tools for research in neural network interpretability. | tensorflow | 2024-01-12 | 2018-01-25 | 313 | 14.637523 | https://avatars.githubusercontent.com/u/15658638?v=4 | A collection of infrastructure and tools for research in neural network interpretability. | ['colab', 'interpretability', 'jupyter-notebook', 'machine-learning', 'tensorflow', 'visualization'] | ['colab', 'interpretability', 'jupyter-notebook', 'machine-learning', 'tensorflow', 'visualization'] | 2021-03-19 | [('pytorch/captum', 0.6784272193908691, 'ml-interpretability', 1), ('pair-code/lit', 0.6758688688278198, 'ml-interpretability', 2), ('csinva/imodels', 0.6663603782653809, 'ml', 2), ('interpretml/interpret', 0.626980721950531, 'ml-interpretability', 2), ('marcotcr/lime', 0.61471027135849, 'ml-interpretability', 0), ('lu... | 40 | 3 | null | 0 | 2 | 1 | 73 | 34 | 0 | 4 | 4 | 2 | 1 | 90 | 0.5 | 38 |
292 | util | https://github.com/pytoolz/toolz | [] | null | [] | [] | null | null | null | pytoolz/toolz | toolz | 4,431 | 305 | 83 | Python | http://toolz.readthedocs.org/ | A functional standard library for Python. | pytoolz | 2024-01-13 | 2013-09-13 | 541 | 8.181746 | https://avatars.githubusercontent.com/u/5448828?v=4 | A functional standard library for Python. | [] | [] | 2022-11-03 | [('pyston/pyston', 0.719200074672699, 'util', 0), ('pypy/pypy', 0.7066237330436707, 'util', 0), ('pmorissette/ffn', 0.6924606561660767, 'finance', 0), ('google/latexify_py', 0.6760282516479492, 'util', 0), ('eleutherai/pyfra', 0.6730476021766663, 'ml', 0), ('python/cpython', 0.6690644025802612, 'util', 0), ('ta-lib/ta-... | 75 | 7 | null | 0 | 3 | 1 | 126 | 15 | 0 | 2 | 2 | 3 | 1 | 90 | 0.3 | 38 |
935 | ml | https://github.com/thudm/cogvideo | [] | null | [] | [] | null | null | null | thudm/cogvideo | CogVideo | 3,339 | 352 | 102 | Python | null | Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers" | thudm | 2024-01-13 | 2022-05-29 | 87 | 38.253682 | https://avatars.githubusercontent.com/u/48590610?v=4 | Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers" | [] | [] | 2023-06-09 | [('sharonzhou/long_stable_diffusion', 0.6085971593856812, 'diffusion', 0), ('chenyangqiqi/fatezero', 0.6052513718605042, 'diffusion', 0), ('lucidrains/deep-daze', 0.5634084939956665, 'ml', 0), ('openai/image-gpt', 0.558464765548706, 'llm', 0), ('williamyang1991/vtoonify', 0.5548344850540161, 'ml-dl', 0), ('openai/glide... | 4 | 3 | null | 0.04 | 0 | 0 | 20 | 7 | 0 | 0 | 0 | 0 | 0 | 90 | 0 | 38 |
34 | nlp | https://github.com/jbesomi/texthero | [] | null | [] | [] | null | null | null | jbesomi/texthero | texthero | 2,841 | 240 | 43 | Python | https://texthero.org | Text preprocessing, representation and visualization from zero to hero. | jbesomi | 2024-01-14 | 2020-04-06 | 199 | 14.266141 | null | Text preprocessing, representation and visualization from zero to hero. | ['machine-learning', 'nlp', 'nlp-pipeline', 'text-clustering', 'text-mining', 'text-preprocessing', 'text-representation', 'text-visualization', 'texthero', 'word-embeddings'] | ['machine-learning', 'nlp', 'nlp-pipeline', 'text-clustering', 'text-mining', 'text-preprocessing', 'text-representation', 'text-visualization', 'texthero', 'word-embeddings'] | 2023-08-29 | [('alibaba/easynlp', 0.5708900690078735, 'nlp', 2), ('nltk/nltk', 0.5517333149909973, 'nlp', 2), ('sloria/textblob', 0.5416422486305237, 'nlp', 1), ('explosion/spacy-streamlit', 0.5377371907234192, 'nlp', 2), ('rasahq/rasa', 0.5357376337051392, 'llm', 2), ('jalammar/ecco', 0.5305410623550415, 'ml-interpretability', 1),... | 21 | 6 | null | 0.1 | 0 | 0 | 46 | 5 | 0 | 2 | 2 | 0 | 0 | 90 | 0 | 38 |
431 | pandas | https://github.com/pydata/pandas-datareader | [] | null | [] | [] | null | null | null | pydata/pandas-datareader | pandas-datareader | 2,761 | 675 | 141 | Python | https://pydata.github.io/pandas-datareader/stable/index.html | Extract data from a wide range of Internet sources into a pandas DataFrame. | pydata | 2024-01-12 | 2015-01-15 | 471 | 5.853119 | https://avatars.githubusercontent.com/u/1284191?v=4 | Extract data from a wide range of Internet sources into a pandas DataFrame. | ['data', 'data-analysis', 'dataset', 'econdb', 'economic-data', 'fama-french', 'finance', 'financial-data', 'fred', 'html', 'pandas', 'pydata', 'stock-data'] | ['data', 'data-analysis', 'dataset', 'econdb', 'economic-data', 'fama-french', 'finance', 'financial-data', 'fred', 'html', 'pandas', 'pydata', 'stock-data'] | 2023-10-24 | [('ranaroussi/yfinance', 0.6126816868782043, 'finance', 3), ('twopirllc/pandas-ta', 0.5820935368537903, 'finance', 2), ('cuemacro/findatapy', 0.5381442308425903, 'finance', 1), ('lux-org/lux', 0.5096178650856018, 'viz', 1)] | 91 | 1 | null | 0.38 | 27 | 16 | 110 | 3 | 0 | 3 | 3 | 27 | 30 | 90 | 1.1 | 38 |
1,280 | ml | https://github.com/scikit-optimize/scikit-optimize | [] | null | [] | [] | null | null | null | scikit-optimize/scikit-optimize | scikit-optimize | 2,700 | 535 | 64 | Python | https://scikit-optimize.github.io | Sequential model-based optimization with a `scipy.optimize` interface | scikit-optimize | 2024-01-12 | 2016-03-20 | 410 | 6.58078 | https://avatars.githubusercontent.com/u/18578550?v=4 | Sequential model-based optimization with a `scipy.optimize` interface | ['bayesian-optimization', 'bayesopt', 'binder', 'hyperparameter', 'hyperparameter-optimization', 'hyperparameter-search', 'hyperparameter-tuning', 'machine-learning', 'optimization', 'scientific-computing', 'scientific-visualization', 'scikit-learn', 'sequential-recommendation', 'visualization'] | ['bayesian-optimization', 'bayesopt', 'binder', 'hyperparameter', 'hyperparameter-optimization', 'hyperparameter-search', 'hyperparameter-tuning', 'machine-learning', 'optimization', 'scientific-computing', 'scientific-visualization', 'scikit-learn', 'sequential-recommendation', 'visualization'] | 2021-10-12 | [('google/vizier', 0.6410875916481018, 'ml', 5), ('automl/auto-sklearn', 0.6117300391197205, 'ml', 5), ('pymc-devs/pymc3', 0.5821582674980164, 'ml', 0), ('ray-project/tune-sklearn', 0.550593912601471, 'ml', 3), ('hyperopt/hyperopt', 0.5412236452102661, 'ml', 0), ('pytorch/botorch', 0.5391286611557007, 'ml-dl', 0), ('sc... | 76 | 5 | null | 0 | 23 | 4 | 95 | 27 | 0 | 3 | 3 | 23 | 33 | 90 | 1.4 | 38 |
173 | viz | https://github.com/facebookresearch/hiplot | [] | null | [] | [] | null | null | null | facebookresearch/hiplot | hiplot | 2,641 | 135 | 29 | TypeScript | https://facebookresearch.github.io/hiplot/ | HiPlot makes understanding high dimensional data easy | facebookresearch | 2024-01-13 | 2019-11-08 | 220 | 11.973446 | https://avatars.githubusercontent.com/u/16943930?v=4 | HiPlot makes understanding high dimensional data easy | [] | [] | 2023-07-19 | [('contextlab/hypertools', 0.5843124985694885, 'ml', 0), ('holoviz/holoviews', 0.5553148984909058, 'viz', 0), ('holoviz/hvplot', 0.5185054540634155, 'pandas', 0), ('holoviz/datashader', 0.5003904104232788, 'gis', 0)] | 9 | 1 | null | 0.17 | 9 | 1 | 51 | 6 | 0 | 10 | 10 | 9 | 7 | 90 | 0.8 | 38 |
1,028 | finance | https://github.com/goldmansachs/gs-quant | [] | null | [] | [] | null | null | null | goldmansachs/gs-quant | gs-quant | 2,255 | 477 | 91 | Jupyter Notebook | https://developer.gs.com/discover/products/gs-quant/ | Python toolkit for quantitative finance | goldmansachs | 2024-01-14 | 2018-12-14 | 267 | 8.427656 | https://avatars.githubusercontent.com/u/1268489?v=4 | Python toolkit for quantitative finance | ['derivatives', 'goldman-sachs', 'gs-quant', 'risk-management', 'trading-strategies'] | ['derivatives', 'goldman-sachs', 'gs-quant', 'risk-management', 'trading-strategies'] | 2024-01-09 | [('ranaroussi/quantstats', 0.7339354157447815, 'finance', 0), ('cuemacro/finmarketpy', 0.6932242512702942, 'finance', 1), ('ta-lib/ta-lib-python', 0.6905857920646667, 'finance', 0), ('domokane/financepy', 0.6860893964767456, 'finance', 2), ('gbeced/pyalgotrade', 0.6751449108123779, 'finance', 0), ('quantconnect/lean', ... | 27 | 2 | null | 1 | 1 | 0 | 62 | 0 | 51 | 37 | 51 | 1 | 0 | 90 | 0 | 38 |
1,315 | study | https://github.com/krzjoa/awesome-python-data-science | ['awesome'] | null | [] | [] | null | null | null | krzjoa/awesome-python-data-science | awesome-python-data-science | 2,179 | 353 | 56 | null | https://krzjoa.github.io/awesome-python-data-science | Probably the best curated list of data science software in Python. | krzjoa | 2024-01-10 | 2017-12-21 | 318 | 6.836844 | null | Probably the best curated list of data science software in Python. | ['awesome', 'awesome-list', 'awesome-python', 'data-analysis', 'data-science', 'data-visualization', 'deep-learning', 'machine-learning', 'scikit-learn', 'statistics'] | ['awesome', 'awesome-list', 'awesome-python', 'data-analysis', 'data-science', 'data-visualization', 'deep-learning', 'machine-learning', 'scikit-learn', 'statistics'] | 2023-10-30 | [('dylanhogg/awesome-python', 0.7601116299629211, 'study', 6), ('plotly/dash', 0.6923890113830566, 'viz', 2), ('pandas-dev/pandas', 0.6641040444374084, 'pandas', 2), ('polyaxon/datatile', 0.6403499245643616, 'pandas', 3), ('firmai/industry-machine-learning', 0.6359909772872925, 'study', 2), ('gradio-app/gradio', 0.6200... | 31 | 9 | null | 1.04 | 1 | 1 | 74 | 3 | 0 | 0 | 0 | 1 | 1 | 90 | 1 | 38 |
294 | util | https://github.com/pyfilesystem/pyfilesystem2 | [] | null | [] | [] | null | null | null | pyfilesystem/pyfilesystem2 | pyfilesystem2 | 1,921 | 180 | 43 | Python | https://www.pyfilesystem.org | Python's Filesystem abstraction layer | pyfilesystem | 2024-01-13 | 2016-10-14 | 380 | 5.047673 | https://avatars.githubusercontent.com/u/11898830?v=4 | Python's Filesystem abstraction layer | ['filesystem', 'filesystem-library', 'ftp', 'pyfilesystem', 'pyfilesystem2', 'tar', 'zip'] | ['filesystem', 'filesystem-library', 'ftp', 'pyfilesystem', 'pyfilesystem2', 'tar', 'zip'] | 2022-10-18 | [('fsspec/filesystem_spec', 0.7090234160423279, 'util', 0), ('drivendataorg/cloudpathlib', 0.5201523900032043, 'data', 0)] | 47 | 5 | null | 0 | 9 | 2 | 88 | 15 | 0 | 7 | 7 | 9 | 18 | 90 | 2 | 38 |
46 | jupyter | https://github.com/maartenbreddels/ipyvolume | [] | null | [] | [] | null | null | null | maartenbreddels/ipyvolume | ipyvolume | 1,896 | 239 | 52 | TypeScript | null | 3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL | maartenbreddels | 2024-01-09 | 2016-12-21 | 370 | 5.112481 | https://avatars.githubusercontent.com/u/99180851?v=4 | 3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL | ['dataviz', 'ipython-widget', 'jupyter', 'jupyter-notebook', 'plotting', 'quiver', 'rendering-3d-volumes', 'scientific-visualization', 'threejs', 'virtual-reality', 'visualisation', 'volume-rendering', 'webgl'] | ['dataviz', 'ipython-widget', 'jupyter', 'jupyter-notebook', 'plotting', 'quiver', 'rendering-3d-volumes', 'scientific-visualization', 'threejs', 'virtual-reality', 'visualisation', 'volume-rendering', 'webgl'] | 2023-07-07 | [('vizzuhq/ipyvizzu', 0.7133920788764954, 'jupyter', 4), ('plotly/plotly.py', 0.6658064723014832, 'viz', 2), ('bokeh/bokeh', 0.6592708230018616, 'viz', 3), ('jupyter-widgets/ipywidgets', 0.6541346311569214, 'jupyter', 0), ('giswqs/mapwidget', 0.6517302989959717, 'gis', 1), ('voila-dashboards/voila', 0.6421133279800415,... | 45 | 7 | null | 0.44 | 2 | 0 | 86 | 6 | 0 | 7 | 7 | 2 | 2 | 90 | 1 | 38 |
1,211 | util | https://github.com/astanin/python-tabulate | [] | null | [] | [] | null | null | null | astanin/python-tabulate | python-tabulate | 1,881 | 194 | 21 | Python | https://pypi.org/project/tabulate/ | Pretty-print tabular data in Python, a library and a command-line utility. Repository migrated from bitbucket.org/astanin/python-tabulate. | astanin | 2024-01-12 | 2019-09-02 | 230 | 8.173184 | null | Pretty-print tabular data in Python, a library and a command-line utility. Repository migrated from bitbucket.org/astanin/python-tabulate. | [] | [] | 2023-04-30 | [('jazzband/prettytable', 0.6471048593521118, 'term', 0), ('jazzband/tablib', 0.6442596316337585, 'data', 0), ('camelot-dev/camelot', 0.6331050395965576, 'util', 0), ('wireservice/csvkit', 0.5541922450065613, 'util', 0), ('vaexio/vaex', 0.5106703042984009, 'perf', 0), ('saulpw/visidata', 0.5104148387908936, 'term', 0),... | 84 | 3 | null | 0 | 19 | 2 | 53 | 9 | 0 | 6 | 6 | 19 | 9 | 90 | 0.5 | 38 |
262 | sim | https://github.com/quantecon/quantecon.py | [] | null | [] | [] | null | null | null | quantecon/quantecon.py | QuantEcon.py | 1,802 | 2,287 | 150 | Python | https://quantecon.org/quantecon-py/ | A community based Python library for quantitative economics | quantecon | 2024-01-12 | 2013-03-22 | 566 | 3.180535 | https://avatars.githubusercontent.com/u/8703060?v=4 | A community based Python library for quantitative economics | [] | [] | 2023-08-09 | [('gbeced/pyalgotrade', 0.6401932835578918, 'finance', 0), ('goldmansachs/gs-quant', 0.6292877197265625, 'finance', 0), ('domokane/financepy', 0.5794845819473267, 'finance', 0), ('eleutherai/pyfra', 0.5649722218513489, 'ml', 0), ('cuemacro/finmarketpy', 0.5637820959091187, 'finance', 0), ('pmorissette/ffn', 0.559691309... | 43 | 7 | null | 0.42 | 5 | 0 | 132 | 5 | 4 | 4 | 4 | 5 | 12 | 90 | 2.4 | 38 |
1,616 | data | https://github.com/samuelcolvin/arq | [] | null | [] | [] | null | null | null | samuelcolvin/arq | arq | 1,766 | 147 | 32 | Python | https://arq-docs.helpmanual.io/ | Fast job queuing and RPC in python with asyncio and redis. | samuelcolvin | 2024-01-13 | 2016-07-21 | 392 | 4.496908 | null | Fast job queuing and RPC in python with asyncio and redis. | ['async', 'asyncio', 'concurrency', 'concurrent', 'distributed', 'msgpack', 'queue', 'redis', 'tasks', 'worker'] | ['async', 'asyncio', 'concurrency', 'concurrent', 'distributed', 'msgpack', 'queue', 'redis', 'tasks', 'worker'] | 2023-10-30 | [('python-trio/trio', 0.6487094759941101, 'perf', 1), ('agronholm/anyio', 0.6350996494293213, 'perf', 1), ('magicstack/uvloop', 0.6330302953720093, 'util', 2), ('airtai/faststream', 0.6273122429847717, 'perf', 2), ('aio-libs/aiohttp', 0.6253662705421448, 'web', 2), ('geeogi/async-python-lambda-template', 0.625022411346... | 55 | 3 | null | 0.06 | 19 | 8 | 91 | 2 | 0 | 8 | 8 | 19 | 17 | 90 | 0.9 | 38 |
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