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1,289 | llm | https://github.com/blinkdl/chatrwkv | [] | null | [] | [] | null | null | null | blinkdl/chatrwkv | ChatRWKV | 9,013 | 670 | 90 | Python | null | ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source. | blinkdl | 2024-01-14 | 2023-01-13 | 54 | 165.159686 | null | ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source. | ['chatbot', 'chatgpt', 'language-model', 'pytorch', 'rnn', 'rwkv'] | ['chatbot', 'chatgpt', 'language-model', 'pytorch', 'rnn', 'rwkv'] | 2023-12-27 | [('xtekky/gpt4free', 0.6857205033302307, 'llm', 3), ('run-llama/rags', 0.678069531917572, 'llm', 2), ('blinkdl/rwkv-lm', 0.6400032043457031, 'llm', 5), ('embedchain/embedchain', 0.6271498203277588, 'llm', 1), ('nomic-ai/gpt4all', 0.6257155537605286, 'llm', 2), ('lm-sys/fastchat', 0.6127018928527832, 'llm', 2), ('togeth... | 17 | 4 | null | 5.88 | 14 | 7 | 12 | 1 | 0 | 0 | 0 | 14 | 7 | 90 | 0.5 | 61 |
1,074 | nlp | https://github.com/togethercomputer/openchatkit | ['chatbot'] | OpenChatKit provides a powerful, open-source base to create both specialized and general purpose chatbots | [] | [] | null | null | null | togethercomputer/openchatkit | OpenChatKit | 8,958 | 1,024 | 123 | Python | null | null | togethercomputer | 2024-01-14 | 2023-03-03 | 47 | 188.306306 | https://avatars.githubusercontent.com/u/109101822?v=4 | OpenChatKit provides a powerful, open-source base to create both specialized and general purpose chatbots | [] | ['chatbot'] | 2023-08-17 | [('embedchain/embedchain', 0.7426310181617737, 'llm', 0), ('gunthercox/chatterbot', 0.6964467167854309, 'nlp', 1), ('rasahq/rasa', 0.6932374835014343, 'llm', 1), ('nomic-ai/gpt4all', 0.6839218139648438, 'llm', 1), ('minimaxir/simpleaichat', 0.6666284203529358, 'llm', 0), ('deeppavlov/deeppavlov', 0.6648150086402893, 'n... | 19 | 6 | null | 2.15 | 8 | 2 | 11 | 5 | 0 | 2 | 2 | 8 | 4 | 90 | 0.5 | 61 |
1,361 | llm | https://github.com/artidoro/qlora | ['language-model'] | null | [] | [] | null | null | null | artidoro/qlora | qlora | 8,702 | 762 | 81 | Jupyter Notebook | https://arxiv.org/abs/2305.14314 | QLoRA: Efficient Finetuning of Quantized LLMs | artidoro | 2024-01-14 | 2023-05-11 | 37 | 230.734848 | null | QLoRA: Efficient Finetuning of Quantized LLMs | [] | ['language-model'] | 2023-07-24 | [('opengvlab/omniquant', 0.7345274090766907, 'llm', 0), ('squeezeailab/squeezellm', 0.6456478834152222, 'llm', 0), ('hiyouga/llama-factory', 0.6366949081420898, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.6366947889328003, 'llm', 1), ('bobazooba/xllm', 0.6219983100891113, 'llm', 0), ('timdettmers/bitsandbytes', 0.6... | 16 | 4 | null | 1.37 | 34 | 12 | 8 | 6 | 0 | 0 | 0 | 33 | 31 | 90 | 0.9 | 61 |
609 | testing | https://github.com/robotframework/robotframework | [] | null | [] | [] | null | null | null | robotframework/robotframework | robotframework | 8,634 | 2,217 | 475 | Python | http://robotframework.org | Generic automation framework for acceptance testing and RPA | robotframework | 2024-01-13 | 2014-06-27 | 500 | 17.248288 | https://avatars.githubusercontent.com/u/574284?v=4 | Generic automation framework for acceptance testing and RPA | ['attd', 'automation', 'bdd', 'robotframework', 'rpa', 'testautomation', 'testing'] | ['attd', 'automation', 'bdd', 'robotframework', 'rpa', 'testautomation', 'testing'] | 2024-01-11 | [('vedro-universe/vedro', 0.5252175331115723, 'testing', 1), ('seleniumbase/seleniumbase', 0.5185773968696594, 'testing', 0)] | 193 | 4 | null | 13.5 | 280 | 216 | 116 | 0 | 12 | 15 | 12 | 280 | 408 | 90 | 1.5 | 61 |
312 | util | https://github.com/pypa/pipx | [] | null | [] | [] | null | null | null | pypa/pipx | pipx | 7,789 | 361 | 75 | Python | https://pipx.pypa.io | Install and Run Python Applications in Isolated Environments | pypa | 2024-01-14 | 2018-10-06 | 277 | 28.075695 | https://avatars.githubusercontent.com/u/647025?v=4 | Install and Run Python Applications in Isolated Environments | ['cli', 'pip', 'venv'] | ['cli', 'pip', 'venv'] | 2024-01-13 | [('pyenv/pyenv', 0.6269603371620178, 'util', 2), ('pypa/virtualenv', 0.6216922998428345, 'util', 2), ('pypa/pipenv', 0.6215226650238037, 'util', 2), ('ofek/pyapp', 0.604620099067688, 'util', 1), ('beeware/briefcase', 0.5395711064338684, 'util', 0), ('pantsbuild/pex', 0.5113623738288879, 'util', 1), ('pomponchik/instld'... | 124 | 4 | null | 2.52 | 264 | 199 | 64 | 0 | 9 | 12 | 9 | 264 | 474 | 90 | 1.8 | 61 |
1,047 | ml-dl | https://github.com/lucidrains/imagen-pytorch | [] | null | [] | [] | null | null | null | lucidrains/imagen-pytorch | imagen-pytorch | 7,563 | 714 | 111 | Python | null | Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch | lucidrains | 2024-01-13 | 2022-05-23 | 88 | 85.80389 | null | Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch | ['artificial-intelligence', 'deep-learning', 'imagination-machine', 'text-to-image', 'text-to-video'] | ['artificial-intelligence', 'deep-learning', 'imagination-machine', 'text-to-image', 'text-to-video'] | 2024-01-12 | [('lucidrains/dalle2-pytorch', 0.7950653433799744, 'diffusion', 3), ('hysts/pytorch_image_classification', 0.6431624889373779, 'ml-dl', 0), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.6227165460586548, 'web', 1), ('pytorch/ignite', 0.6169648766517639, 'ml-dl', 1), ('nvlabs/gcvit', 0.6131131052970886, 'diff... | 20 | 3 | null | 1 | 13 | 3 | 20 | 0 | 40 | 212 | 40 | 13 | 16 | 90 | 1.2 | 61 |
344 | jupyter | https://github.com/mwouts/jupytext | [] | null | [] | [] | null | null | null | mwouts/jupytext | jupytext | 6,301 | 387 | 69 | Python | https://jupytext.readthedocs.io | Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts | mwouts | 2024-01-14 | 2018-06-15 | 293 | 21.46326 | null | Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts | ['hydrogen', 'jupyter-notebook', 'jupyterlab', 'jupyterlab-extension', 'knitr', 'markdown', 'notebooks', 'rmarkdown', 'rstudio', 'version-control'] | ['hydrogen', 'jupyter-notebook', 'jupyterlab', 'jupyterlab-extension', 'knitr', 'markdown', 'notebooks', 'rmarkdown', 'rstudio', 'version-control'] | 2024-01-13 | [('jupyter/nbformat', 0.6959807276725769, 'jupyter', 0), ('jupyter/notebook', 0.6791135668754578, 'jupyter', 1), ('voila-dashboards/voila', 0.6650576591491699, 'jupyter', 2), ('jupyter-widgets/ipywidgets', 0.6579967737197876, 'jupyter', 1), ('jupyterlab/jupyterlab-desktop', 0.6525211930274963, 'jupyter', 2), ('jupyter-... | 85 | 6 | null | 3.15 | 95 | 66 | 68 | 0 | 13 | 26 | 13 | 95 | 244 | 90 | 2.6 | 61 |
141 | nlp | https://github.com/neuml/txtai | [] | null | [] | [] | null | null | null | neuml/txtai | txtai | 5,982 | 443 | 77 | Python | https://neuml.github.io/txtai | 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows | neuml | 2024-01-14 | 2020-08-09 | 181 | 32.997636 | https://avatars.githubusercontent.com/u/59890304?v=4 | 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows | ['embeddings', 'information-retrieval', 'language-model', 'large-language-models', 'llm', 'machine-learning', 'neural-search', 'nlp', 'rag', 'retrieval-augmented-generation', 'search', 'search-engine', 'semantic-search', 'sentence-embeddings', 'transformers', 'txtai', 'vector-database', 'vector-search', 'vector-search-... | ['embeddings', 'information-retrieval', 'language-model', 'large-language-models', 'llm', 'machine-learning', 'neural-search', 'nlp', 'rag', 'retrieval-augmented-generation', 'search', 'search-engine', 'semantic-search', 'sentence-embeddings', 'transformers', 'txtai', 'vector-database', 'vector-search', 'vector-search-... | 2024-01-12 | [('paddlepaddle/paddlenlp', 0.7093960642814636, 'llm', 5), ('llmware-ai/llmware', 0.7031641602516174, 'llm', 9), ('chroma-core/chroma', 0.6690793633460999, 'data', 1), ('qdrant/fastembed', 0.6601556539535522, 'ml', 4), ('jina-ai/vectordb', 0.6555339097976685, 'data', 4), ('muennighoff/sgpt', 0.6413739323616028, 'llm', ... | 12 | 7 | null | 5.67 | 74 | 59 | 42 | 0 | 8 | 10 | 8 | 74 | 152 | 90 | 2.1 | 61 |
82 | util | https://github.com/sphinx-doc/sphinx | [] | null | [] | [] | null | null | null | sphinx-doc/sphinx | sphinx | 5,855 | 2,037 | 148 | Python | https://www.sphinx-doc.org/ | The Sphinx documentation generator | sphinx-doc | 2024-01-14 | 2015-01-02 | 473 | 12.363499 | https://avatars.githubusercontent.com/u/9928167?v=4 | The Sphinx documentation generator | ['docs', 'documentation', 'documentation-tool', 'markdown', 'restructuredtext', 'sphinx'] | ['docs', 'documentation', 'documentation-tool', 'markdown', 'restructuredtext', 'sphinx'] | 2024-01-14 | [('executablebooks/jupyter-book', 0.753897488117218, 'jupyter', 0), ('mitmproxy/pdoc', 0.7031545042991638, 'util', 3), ('pdoc3/pdoc', 0.6652024388313293, 'util', 3), ('squidfunk/mkdocs-material', 0.6544510126113892, 'util', 1), ('mkdocs/mkdocs', 0.6297897100448608, 'util', 2), ('mkdocstrings/mkdocstrings', 0.5597922801... | 796 | 7 | null | 14.88 | 299 | 202 | 110 | 0 | 15 | 21 | 15 | 299 | 447 | 90 | 1.5 | 61 |
342 | web | https://github.com/vitalik/django-ninja | [] | null | [] | [] | null | null | null | vitalik/django-ninja | django-ninja | 5,676 | 346 | 75 | Python | https://django-ninja.dev | 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs | vitalik | 2024-01-14 | 2020-05-19 | 193 | 29.409326 | null | 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs | ['django', 'django-ninja', 'openapi', 'pydantic', 'rest-api', 'swagger', 'swagger-ui'] | ['django', 'django-ninja', 'openapi', 'pydantic', 'rest-api', 'swagger', 'swagger-ui'] | 2024-01-08 | [('tiangolo/fastapi', 0.8338611721992493, 'web', 4), ('python-restx/flask-restx', 0.7110880613327026, 'web', 1), ('starlite-api/starlite', 0.7026381492614746, 'web', 3), ('awtkns/fastapi-crudrouter', 0.6941371560096741, 'web', 2), ('hugapi/hug', 0.6697272658348083, 'util', 0), ('asacristani/fastapi-rocket-boilerplate',... | 125 | 3 | null | 4.52 | 208 | 110 | 44 | 0 | 13 | 11 | 13 | 208 | 362 | 90 | 1.7 | 61 |
754 | sim | https://github.com/qiskit/qiskit | [] | null | [] | [] | null | null | null | qiskit/qiskit | qiskit | 4,208 | 2,164 | 216 | Python | https://www.ibm.com/quantum/qiskit | Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives. | qiskit | 2024-01-14 | 2017-03-03 | 360 | 11.670365 | https://avatars.githubusercontent.com/u/30696987?v=4 | Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives. | ['qiskit', 'quantum', 'quantum-circuit', 'quantum-computing', 'quantum-programming-language', 'sdk'] | ['qiskit', 'quantum', 'quantum-circuit', 'quantum-computing', 'quantum-programming-language', 'sdk'] | 2024-01-12 | [('jackhidary/quantumcomputingbook', 0.5992211699485779, 'study', 3), ('cqcl/tket', 0.5771373510360718, 'util', 1), ('quantumlib/cirq', 0.5546154975891113, 'sim', 1), ('cqcl/lambeq', 0.5245597958564758, 'nlp', 0), ('netket/netket', 0.5100851058959961, 'sim', 1)] | 534 | 5 | null | 18.23 | 804 | 580 | 84 | 0 | 20 | 16 | 20 | 805 | 1,767 | 90 | 2.2 | 61 |
1,313 | diffusion | https://github.com/idea-research/groundingdino | ['awesome'] | null | [] | [] | null | null | null | idea-research/groundingdino | GroundingDINO | 4,067 | 415 | 30 | Python | https://arxiv.org/abs/2303.05499 | Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection" | idea-research | 2024-01-14 | 2023-03-09 | 46 | 87.061162 | https://avatars.githubusercontent.com/u/113572103?v=4 | Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection" | ['object-detection', 'open-world', 'open-world-detection', 'vision-language', 'vision-language-transformer'] | ['awesome', 'object-detection', 'open-world', 'open-world-detection', 'vision-language', 'vision-language-transformer'] | 2023-12-31 | [('idea-research/grounded-segment-anything', 0.6477982997894287, 'llm', 0), ('roboflow/notebooks', 0.5870379209518433, 'study', 1), ('facebookresearch/dinov2', 0.5680932402610779, 'diffusion', 0), ('nvlabs/gcvit', 0.5644093751907349, 'diffusion', 1), ('open-mmlab/mmdetection', 0.5333415269851685, 'ml', 1), ('deci-ai/su... | 23 | 6 | null | 1.25 | 67 | 12 | 10 | 0 | 2 | 2 | 2 | 67 | 67 | 90 | 1 | 61 |
515 | util | https://github.com/spack/spack | [] | null | [] | [] | null | null | null | spack/spack | spack | 3,783 | 2,097 | 100 | Python | https://spack.io | A flexible package manager that supports multiple versions, configurations, platforms, and compilers. | spack | 2024-01-14 | 2014-01-08 | 524 | 7.207676 | https://avatars.githubusercontent.com/u/25539161?v=4 | A flexible package manager that supports multiple versions, configurations, platforms, and compilers. | ['build-tools', 'hpc', 'linux', 'macos', 'package-manager', 'radiuss', 'scientific-computing', 'spack'] | ['build-tools', 'hpc', 'linux', 'macos', 'package-manager', 'radiuss', 'scientific-computing', 'spack'] | 2024-01-13 | [('conda/conda', 0.7269142270088196, 'util', 1), ('mamba-org/mamba', 0.6774295568466187, 'util', 1), ('pomponchik/instld', 0.6380254030227661, 'util', 1), ('pypa/hatch', 0.592124879360199, 'util', 1), ('pypa/setuptools_scm', 0.5813215970993042, 'util', 0), ('mitsuhiko/rye', 0.5651411414146423, 'util', 1), ('pdm-project... | 1,567 | 4 | null | 109.62 | 2,017 | 1,508 | 122 | 0 | 8 | 10 | 8 | 2,016 | 3,672 | 90 | 1.8 | 61 |
1,436 | jupyter | https://github.com/jupyterlab/jupyter-ai | [] | null | [] | [] | null | null | null | jupyterlab/jupyter-ai | jupyter-ai | 2,475 | 225 | 31 | Python | https://jupyter-ai.readthedocs.io/ | A generative AI extension for JupyterLab | jupyterlab | 2024-01-14 | 2023-02-09 | 50 | 48.802817 | https://avatars.githubusercontent.com/u/22800682?v=4 | A generative AI extension for JupyterLab | ['generative-ai', 'jupyter', 'jupyterlab', 'jupyterlab-extension'] | ['generative-ai', 'jupyter', 'jupyterlab', 'jupyterlab-extension'] | 2024-01-10 | [('chaoleili/jupyterlab_tensorboard', 0.5836908221244812, 'jupyter', 2), ('jupyterlab/jupyterlab', 0.5743774771690369, 'jupyter', 2), ('jupyter-lsp/jupyterlab-lsp', 0.5275683403015137, 'jupyter', 3), ('ipython/ipykernel', 0.5044593811035156, 'util', 1), ('jupyter-widgets/ipywidgets', 0.5035024285316467, 'jupyter', 1), ... | 19 | 3 | null | 5.04 | 212 | 134 | 11 | 0 | 42 | 156 | 42 | 212 | 354 | 90 | 1.7 | 61 |
1,821 | llm | https://github.com/predibase/lorax | ['fine-tuned', 'scale', 'gpu'] | null | [] | [] | null | null | null | predibase/lorax | lorax | 671 | 52 | 19 | Python | https://predibase.github.io/lorax/ | Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs | predibase | 2024-01-14 | 2023-10-20 | 14 | 46.04902 | https://avatars.githubusercontent.com/u/75280641?v=4 | Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs | ['fine-tuning', 'gpt', 'llama', 'llm', 'llm-inference', 'llm-serving', 'llmops', 'lora', 'model-serving', 'pytorch', 'transformers'] | ['fine-tuned', 'fine-tuning', 'gpt', 'gpu', 'llama', 'llm', 'llm-inference', 'llm-serving', 'llmops', 'lora', 'model-serving', 'pytorch', 'scale', 'transformers'] | 2024-01-11 | [('vllm-project/vllm', 0.7764987945556641, 'llm', 7), ('bentoml/openllm', 0.7207032442092896, 'ml-ops', 6), ('bigscience-workshop/petals', 0.6941356062889099, 'data', 3), ('ray-project/ray-llm', 0.6269615888595581, 'llm', 5), ('intel/intel-extension-for-transformers', 0.5878379940986633, 'perf', 2), ('tairov/llama2.moj... | 40 | 5 | null | 9.62 | 181 | 145 | 3 | 0 | 12 | 53 | 12 | 181 | 318 | 90 | 1.8 | 61 |
91 | web | https://github.com/tornadoweb/tornado | [] | null | [] | ['tornado'] | 1 | null | null | tornadoweb/tornado | tornado | 21,397 | 5,574 | 994 | Python | http://www.tornadoweb.org/ | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. | tornadoweb | 2024-01-13 | 2009-09-09 | 750 | 28.496766 | https://avatars.githubusercontent.com/u/7468980?v=4 | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. | ['asynchronous'] | ['asynchronous'] | 2024-01-12 | [('encode/starlette', 0.57993084192276, 'web', 0), ('pallets/quart', 0.5757850408554077, 'web', 0), ('python-trio/trio', 0.5695123076438904, 'perf', 0), ('agronholm/anyio', 0.5639466643333435, 'perf', 0), ('timofurrer/awesome-asyncio', 0.5469016432762146, 'study', 0), ('alirn76/panther', 0.5357459187507629, 'web', 0), ... | 438 | 6 | null | 2.12 | 32 | 20 | 175 | 0 | 0 | 5 | 5 | 32 | 29 | 90 | 0.9 | 60 |
176 | util | https://github.com/delgan/loguru | [] | null | [] | [] | 1 | null | null | delgan/loguru | loguru | 17,102 | 690 | 133 | Python | null | Python logging made (stupidly) simple | delgan | 2024-01-14 | 2017-08-15 | 337 | 50.747774 | null | Python logging made (stupidly) simple | ['log', 'logger', 'logging'] | ['log', 'logger', 'logging'] | 2024-01-10 | [('metachris/logzero', 0.7877286672592163, 'util', 1), ('alexmojaki/snoop', 0.5699717998504639, 'debug', 1)] | 52 | 1 | null | 2.1 | 88 | 43 | 78 | 0 | 3 | 3 | 3 | 88 | 183 | 90 | 2.1 | 60 |
1,292 | llm | https://github.com/fauxpilot/fauxpilot | [] | null | [] | [] | null | null | null | fauxpilot/fauxpilot | fauxpilot | 13,782 | 602 | 123 | Python | null | FauxPilot - an open-source alternative to GitHub Copilot server | fauxpilot | 2024-01-14 | 2022-08-03 | 77 | 177.016514 | https://avatars.githubusercontent.com/u/120729571?v=4 | FauxPilot - an open-source alternative to GitHub Copilot server | [] | [] | 2023-05-29 | [('fastai/ghapi', 0.5876653790473938, 'util', 0), ('mozillazg/pypy', 0.5119403004646301, 'util', 0)] | 14 | 6 | null | 0.27 | 11 | 2 | 18 | 8 | 0 | 0 | 0 | 11 | 17 | 90 | 1.5 | 60 |
52 | graph | https://github.com/networkx/networkx | [] | null | [] | [] | null | null | null | networkx/networkx | networkx | 13,757 | 3,154 | 274 | Python | https://networkx.org | Network Analysis in Python | networkx | 2024-01-14 | 2010-09-06 | 699 | 19.676951 | https://avatars.githubusercontent.com/u/388785?v=4 | Network Analysis in Python | ['complex-networks', 'graph-algorithms', 'graph-analysis', 'graph-generation', 'graph-theory', 'graph-visualization', 'spec-0', 'spec-1', 'spec-4'] | ['complex-networks', 'graph-algorithms', 'graph-analysis', 'graph-generation', 'graph-theory', 'graph-visualization', 'spec-0', 'spec-1', 'spec-4'] | 2024-01-13 | [('pygraphviz/pygraphviz', 0.6983128786087036, 'viz', 3), ('graphistry/pygraphistry', 0.6410859823226929, 'data', 1), ('westhealth/pyvis', 0.6360735297203064, 'graph', 0), ('scikit-mobility/scikit-mobility', 0.614628255367279, 'gis', 0), ('artelys/geonetworkx', 0.5718642473220825, 'gis', 0), ('a-r-j/graphein', 0.548393... | 703 | 2 | null | 7.6 | 303 | 230 | 163 | 0 | 4 | 7 | 4 | 303 | 572 | 90 | 1.9 | 60 |
319 | gui | https://github.com/pysimplegui/pysimplegui | [] | null | [] | [] | 1 | null | null | pysimplegui/pysimplegui | PySimpleGUI | 12,925 | 1,788 | 231 | Python | https://www.PySimpleGUI.com | Launched in 2018. It's 2023 and PySimpleGUI is actively developed & supported. Create complex windows simply. Supports tkinter, Qt, WxPython, Remi (in browser). Create GUI applications trivially with a full set of widgets. Multi-Window applications are also simple. 3.4 to 3.11 supported. 325+ Demo programs & Cookbook f... | pysimplegui | 2024-01-14 | 2018-07-11 | 289 | 44.590931 | null | Launched in 2018. It's 2023 and PySimpleGUI is actively developed & supported. Create complex windows simply. Supports tkinter, Qt, WxPython, Remi (in browser). Create GUI applications trivially with a full set of widgets. Multi-Window applications are also simple. 3.4 to 3.11 supported. 325+ Demo programs & Cookbook f... | ['beginner-friendly', 'datavisualization', 'games', 'gui', 'gui-framework', 'gui-programming', 'gui-window', 'pyside2', 'pysimplegui', 'python-gui', 'qt', 'qt-gui', 'remi', 'systemtray', 'tkinter', 'tkinter-gui', 'tkinter-python', 'user-interface', 'wxpython'] | ['beginner-friendly', 'datavisualization', 'games', 'gui', 'gui-framework', 'gui-programming', 'gui-window', 'pyside2', 'pysimplegui', 'python-gui', 'qt', 'qt-gui', 'remi', 'systemtray', 'tkinter', 'tkinter-gui', 'tkinter-python', 'user-interface', 'wxpython'] | 2023-11-26 | [('parthjadhav/tkinter-designer', 0.7242632508277893, 'gui', 4), ('wxwidgets/phoenix', 0.703073263168335, 'gui', 3), ('hoffstadt/dearpygui', 0.6711195111274719, 'gui', 2), ('r0x0r/pywebview', 0.6416908502578735, 'gui', 2), ('pyglet/pyglet', 0.624721884727478, 'gamedev', 0), ('beeware/toga', 0.6206801533699036, 'gui', 1... | 18 | 4 | null | 2.46 | 134 | 89 | 67 | 2 | 2 | 1 | 2 | 134 | 455 | 90 | 3.4 | 60 |
174 | term | https://github.com/tiangolo/typer | [] | null | [] | [] | 1 | null | null | tiangolo/typer | typer | 12,834 | 521 | 69 | Python | https://typer.tiangolo.com/ | Typer, build great CLIs. Easy to code. Based on Python type hints. | tiangolo | 2024-01-14 | 2019-12-24 | 214 | 59.971963 | null | Typer, build great CLIs. Easy to code. Based on Python type hints. | ['cli', 'click', 'shell', 'terminal', 'typehints', 'typer'] | ['cli', 'click', 'shell', 'terminal', 'typehints', 'typer'] | 2023-12-10 | [('pyscript/pyscript-cli', 0.6438218355178833, 'web', 0), ('kellyjonbrazil/jc', 0.6338556408882141, 'util', 1), ('xonsh/xonsh', 0.614140510559082, 'util', 3), ('google/python-fire', 0.6071035265922546, 'term', 1), ('jquast/blessed', 0.5800941586494446, 'term', 2), ('python-poetry/cleo', 0.5780348777770996, 'term', 1), ... | 37 | 4 | null | 0.62 | 58 | 15 | 49 | 1 | 2 | 6 | 2 | 58 | 108 | 90 | 1.9 | 60 |
1,106 | data | https://github.com/redis/redis-py | [] | null | [] | [] | null | null | null | redis/redis-py | redis-py | 11,993 | 2,483 | 324 | Python | null | Redis Python Client | redis | 2024-01-13 | 2009-11-06 | 742 | 16.150635 | https://avatars.githubusercontent.com/u/1529926?v=4 | Redis Python Client | ['redis', 'redis-client', 'redis-cluster', 'redis-py'] | ['redis', 'redis-client', 'redis-cluster', 'redis-py'] | 2024-01-11 | [] | 429 | 7 | null | 3.37 | 174 | 101 | 173 | 0 | 21 | 7 | 21 | 174 | 183 | 90 | 1.1 | 60 |
520 | diffusion | https://github.com/lucidrains/dalle2-pytorch | [] | null | [] | [] | null | null | null | lucidrains/dalle2-pytorch | DALLE2-pytorch | 10,534 | 1,032 | 127 | Python | null | Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch | lucidrains | 2024-01-14 | 2022-04-07 | 94 | 111.218703 | null | Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch | ['artificial-intelligence', 'deep-learning', 'text-to-image'] | ['artificial-intelligence', 'deep-learning', 'text-to-image'] | 2023-10-19 | [('lucidrains/imagen-pytorch', 0.7950653433799744, 'ml-dl', 3), ('lucidrains/deep-daze', 0.631841242313385, 'ml', 3), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.6031858325004578, 'web', 1), ('saharmor/dalle-playground', 0.5927163362503052, 'diffusion', 2), ('openai/glide-text2im', 0.5790383219718933, 'dif... | 17 | 2 | null | 0.29 | 12 | 1 | 22 | 3 | 13 | 195 | 13 | 12 | 25 | 90 | 2.1 | 60 |
700 | sim | https://github.com/isl-org/open3d | [] | null | [] | [] | null | null | null | isl-org/open3d | Open3D | 9,977 | 2,140 | 197 | C++ | http://www.open3d.org | Open3D: A Modern Library for 3D Data Processing | isl-org | 2024-01-13 | 2016-12-02 | 373 | 26.707075 | https://avatars.githubusercontent.com/u/23507030?v=4 | Open3D: A Modern Library for 3D Data Processing | ['3d', '3d-perception', 'arm', 'computer-graphics', 'cpp', 'cuda', 'gpu', 'gui', 'machine-learning', 'mesh-processing', 'odometry', 'opengl', 'pointcloud', 'pytorch', 'reconstruction', 'registration', 'rendering', 'tensorflow', 'visualization'] | ['3d', '3d-perception', 'arm', 'computer-graphics', 'cpp', 'cuda', 'gpu', 'gui', 'machine-learning', 'mesh-processing', 'odometry', 'opengl', 'pointcloud', 'pytorch', 'reconstruction', 'registration', 'rendering', 'tensorflow', 'visualization'] | 2024-01-05 | [('facebookresearch/pytorch3d', 0.634926438331604, 'ml-dl', 0), ('kornia/kornia', 0.6128343939781189, 'ml-dl', 2), ('marcomusy/vedo', 0.6037029027938843, 'viz', 2), ('pyvista/pyvista', 0.5594555735588074, 'viz', 3), ('pokepetter/ursina', 0.5535932183265686, 'gamedev', 0), ('earthlab/earthpy', 0.5324108004570007, 'gis',... | 217 | 6 | null | 2.29 | 280 | 120 | 87 | 0 | 2 | 3 | 2 | 280 | 370 | 90 | 1.3 | 60 |
1,446 | testing | https://github.com/microsoft/playwright-python | ['automation'] | null | [] | [] | null | null | null | microsoft/playwright-python | playwright-python | 9,951 | 845 | 127 | Python | https://playwright.dev/python/ | Python version of the Playwright testing and automation library. | microsoft | 2024-01-14 | 2020-07-01 | 186 | 53.254587 | https://avatars.githubusercontent.com/u/6154722?v=4 | Python version of the Playwright testing and automation library. | ['chromium', 'firefox', 'playwright', 'webkit'] | ['automation', 'chromium', 'firefox', 'playwright', 'webkit'] | 2024-01-10 | [('seleniumbase/seleniumbase', 0.6941218972206116, 'testing', 2), ('cobrateam/splinter', 0.6916419267654419, 'testing', 1), ('masoniteframework/masonite', 0.549170970916748, 'web', 0), ('pexpect/pexpect', 0.5341052412986755, 'util', 1), ('r0x0r/pywebview', 0.5271952748298645, 'gui', 1), ('pyscript/pyscript-cli', 0.5237... | 35 | 1 | null | 1.88 | 140 | 122 | 43 | 0 | 13 | 23 | 13 | 139 | 190 | 90 | 1.4 | 60 |
53 | perf | https://github.com/numba/numba | [] | null | [] | [] | null | null | null | numba/numba | numba | 9,159 | 1,130 | 200 | Python | http://numba.pydata.org/ | NumPy aware dynamic Python compiler using LLVM | numba | 2024-01-13 | 2012-03-08 | 620 | 14.755581 | https://avatars.githubusercontent.com/u/1628082?v=4 | NumPy aware dynamic Python compiler using LLVM | ['compiler', 'cuda', 'llvm', 'numpy', 'parallel'] | ['compiler', 'cuda', 'llvm', 'numpy', 'parallel'] | 2023-12-14 | [('exaloop/codon', 0.7364824414253235, 'perf', 2), ('google/jax', 0.6459792256355286, 'ml', 1), ('lcompilers/lpython', 0.603155255317688, 'util', 1), ('numba/llvmlite', 0.5931792855262756, 'util', 0), ('nvidia/tensorrt-llm', 0.5688282251358032, 'viz', 0), ('ipython/ipyparallel', 0.5564903020858765, 'perf', 1), ('cupy/c... | 364 | 4 | null | 30.42 | 265 | 127 | 144 | 1 | 4 | 17 | 4 | 265 | 598 | 90 | 2.3 | 60 |
10 | util | https://github.com/cython/cython | [] | null | [] | [] | null | null | null | cython/cython | cython | 8,636 | 1,516 | 240 | Python | https://cython.org | The most widely used Python to C compiler | cython | 2024-01-14 | 2010-11-21 | 688 | 12.547115 | https://avatars.githubusercontent.com/u/486082?v=4 | The most widely used Python to C compiler | ['big-data', 'c', 'cpp', 'cpython', 'cpython-extensions', 'cython', 'performance'] | ['big-data', 'c', 'cpp', 'cpython', 'cpython-extensions', 'cython', 'performance'] | 2024-01-12 | [('pypy/pypy', 0.8010214567184448, 'util', 1), ('exaloop/codon', 0.7081640958786011, 'perf', 0), ('python/cpython', 0.6992247700691223, 'util', 1), ('pyston/pyston', 0.6975716352462769, 'util', 0), ('lcompilers/lpython', 0.6913489699363708, 'util', 0), ('scikit-build/scikit-build', 0.6388826966285706, 'ml', 3), ('fasta... | 516 | 4 | null | 14.48 | 262 | 160 | 160 | 0 | 19 | 15 | 19 | 262 | 591 | 90 | 2.3 | 60 |
7 | util | https://github.com/boto/boto3 | [] | null | [] | [] | null | null | null | boto/boto3 | boto3 | 8,518 | 1,865 | 241 | Python | https://aws.amazon.com/sdk-for-python/ | AWS SDK for Python | boto | 2024-01-13 | 2014-10-03 | 486 | 17.506166 | https://avatars.githubusercontent.com/u/327752?v=4 | AWS SDK for Python | ['aws', 'aws-sdk', 'cloud', 'cloud-management'] | ['aws', 'aws-sdk', 'cloud', 'cloud-management'] | 2024-01-14 | [('samuelcolvin/aioaws', 0.6758776307106018, 'data', 1), ('aws/chalice', 0.66681307554245, 'web', 2), ('nficano/python-lambda', 0.6395252346992493, 'util', 1), ('aws/aws-lambda-python-runtime-interface-client', 0.6017659902572632, 'util', 0), ('jordaneremieff/mangum', 0.589402973651886, 'web', 1), ('awslabs/python-deeq... | 153 | 4 | null | 10.52 | 155 | 119 | 113 | 0 | 0 | 158 | 158 | 155 | 286 | 90 | 1.8 | 60 |
71 | ml | https://github.com/pymc-devs/pymc3 | [] | null | [] | [] | null | null | null | pymc-devs/pymc3 | pymc | 7,970 | 1,914 | 227 | Python | https://docs.pymc.io/ | Bayesian Modeling and Probabilistic Programming in Python | pymc-devs | 2024-01-13 | 2009-05-05 | 769 | 10.364109 | https://avatars.githubusercontent.com/u/81121?v=4 | Bayesian Modeling and Probabilistic Programming in Python | ['bayesian-inference', 'mcmc', 'probabilistic-programming', 'pytensor', 'statistical-analysis', 'variational-inference'] | ['bayesian-inference', 'mcmc', 'probabilistic-programming', 'pytensor', 'statistical-analysis', 'variational-inference'] | 2024-01-12 | [('pyro-ppl/pyro', 0.6964523792266846, 'ml-dl', 3), ('probml/pyprobml', 0.6565049886703491, 'ml', 1), ('crflynn/stochastic', 0.6376107335090637, 'sim', 0), ('uber/orbit', 0.6276130080223083, 'time-series', 1), ('bayesianmodelingandcomputationinpython/bookcode_edition1', 0.6229053735733032, 'study', 0), ('scikit-learn/s... | 474 | 6 | null | 6.98 | 191 | 99 | 179 | 0 | 25 | 6 | 25 | 191 | 573 | 90 | 3 | 60 |
1,317 | ml-dl | https://github.com/facebookresearch/imagebind | ['pytorch', 'multimodal', 'embeddings'] | null | [] | [] | null | null | null | facebookresearch/imagebind | ImageBind | 7,541 | 666 | 100 | Python | null | ImageBind One Embedding Space to Bind Them All | facebookresearch | 2024-01-13 | 2023-03-23 | 44 | 168.648562 | https://avatars.githubusercontent.com/u/16943930?v=4 | ImageBind One Embedding Space to Bind Them All | [] | ['embeddings', 'multimodal', 'pytorch'] | 2023-11-29 | [] | 15 | 6 | null | 0.37 | 20 | 5 | 10 | 2 | 0 | 0 | 0 | 20 | 16 | 90 | 0.8 | 60 |
1,070 | llm | https://github.com/nvidia/megatron-lm | [] | null | [] | [] | null | null | null | nvidia/megatron-lm | Megatron-LM | 7,504 | 1,701 | 143 | Python | null | Ongoing research training transformer models at scale | nvidia | 2024-01-13 | 2019-03-21 | 253 | 29.576577 | https://avatars.githubusercontent.com/u/1728152?v=4 | Ongoing research training transformer models at scale | [] | [] | 2024-01-12 | [('bigscience-workshop/megatron-deepspeed', 0.6671424508094788, 'llm', 0), ('microsoft/megatron-deepspeed', 0.6671424508094788, 'llm', 0), ('alignmentresearch/tuned-lens', 0.6293410658836365, 'ml-interpretability', 0), ('eleutherai/knowledge-neurons', 0.5722100138664246, 'ml-interpretability', 0), ('karpathy/mingpt', 0... | 118 | 2 | null | 21.87 | 185 | 45 | 59 | 0 | 3 | 4 | 3 | 184 | 288 | 90 | 1.6 | 60 |
1,554 | util | https://github.com/kellyjonbrazil/jc | ['serialization', 'jq'] | null | [] | [] | null | null | null | kellyjonbrazil/jc | jc | 7,298 | 180 | 29 | Python | null | CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts. | kellyjonbrazil | 2024-01-14 | 2019-10-15 | 224 | 32.580357 | null | CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts. | ['bash', 'bash-scripting', 'cli', 'command-line', 'command-line-interface', 'command-line-tool', 'convert', 'json', 'linux', 'parsers', 'scripting', 'serialize', 'shell-scripting', 'yaml'] | ['bash', 'bash-scripting', 'cli', 'command-line', 'command-line-interface', 'command-line-tool', 'convert', 'jq', 'json', 'linux', 'parsers', 'scripting', 'serialization', 'serialize', 'shell-scripting', 'yaml'] | 2023-12-21 | [('kellyjonbrazil/jello', 0.7774760127067566, 'util', 10), ('google/python-fire', 0.6432965397834778, 'term', 1), ('tiangolo/typer', 0.6338556408882141, 'term', 1), ('python-poetry/cleo', 0.6012207269668579, 'term', 2), ('pyscript/pyscript-cli', 0.5959556102752686, 'web', 0), ('xonsh/xonsh', 0.5756747722625732, 'util',... | 41 | 2 | null | 4.48 | 76 | 51 | 52 | 1 | 8 | 25 | 8 | 76 | 287 | 90 | 3.8 | 60 |
279 | nlp | https://github.com/maartengr/bertopic | [] | null | [] | [] | null | null | null | maartengr/bertopic | BERTopic | 5,143 | 647 | 48 | Python | https://maartengr.github.io/BERTopic/ | Leveraging BERT and c-TF-IDF to create easily interpretable topics. | maartengr | 2024-01-13 | 2020-09-22 | 175 | 29.388571 | null | Leveraging BERT and c-TF-IDF to create easily interpretable topics. | ['bert', 'ldavis', 'machine-learning', 'nlp', 'sentence-embeddings', 'topic', 'topic-modeling', 'topic-modelling', 'topic-models', 'transformers'] | ['bert', 'ldavis', 'machine-learning', 'nlp', 'sentence-embeddings', 'topic', 'topic-modeling', 'topic-modelling', 'topic-models', 'transformers'] | 2024-01-10 | [('ddangelov/top2vec', 0.6046782732009888, 'nlp', 3), ('paddlepaddle/paddlenlp', 0.6038503050804138, 'llm', 3), ('jonasgeiping/cramming', 0.5925445556640625, 'nlp', 1), ('rare-technologies/gensim', 0.5905485153198242, 'nlp', 3), ('sebischair/lbl2vec', 0.5893922448158264, 'nlp', 2), ('alibaba/easynlp', 0.585081458091735... | 50 | 4 | null | 1.29 | 185 | 94 | 40 | 0 | 4 | 9 | 4 | 185 | 603 | 90 | 3.3 | 60 |
722 | ml-dl | https://github.com/mosaicml/composer | [] | null | [] | [] | null | null | null | mosaicml/composer | composer | 4,781 | 384 | 48 | Python | http://docs.mosaicml.com | Supercharge Your Model Training | mosaicml | 2024-01-13 | 2021-10-12 | 120 | 39.841667 | https://avatars.githubusercontent.com/u/75143706?v=4 | Supercharge Your Model Training | ['deep-learning', 'machine-learning', 'ml-efficiency', 'ml-systems', 'ml-training', 'neural-network', 'neural-networks', 'pytorch'] | ['deep-learning', 'machine-learning', 'ml-efficiency', 'ml-systems', 'ml-training', 'neural-network', 'neural-networks', 'pytorch'] | 2024-01-14 | [('ddbourgin/numpy-ml', 0.6701366305351257, 'ml', 2), ('huggingface/datasets', 0.6692463159561157, 'nlp', 3), ('keras-team/keras', 0.6608446836471558, 'ml-dl', 4), ('onnx/onnx', 0.6314774751663208, 'ml', 4), ('explosion/thinc', 0.6281270980834961, 'ml-dl', 3), ('neuralmagic/sparseml', 0.6215312480926514, 'ml-dl', 1), (... | 94 | 2 | null | 11.62 | 243 | 215 | 27 | 0 | 19 | 22 | 19 | 243 | 173 | 90 | 0.7 | 60 |
709 | ml-ops | https://github.com/flyteorg/flyte | [] | null | [] | [] | null | null | null | flyteorg/flyte | flyte | 4,341 | 460 | 261 | Go | https://flyte.org | Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks. | flyteorg | 2024-01-14 | 2019-10-21 | 223 | 19.453905 | https://avatars.githubusercontent.com/u/35380635?v=4 | Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks. | ['data', 'data-analysis', 'data-science', 'dataops', 'declarative', 'fine-tuning', 'flyte', 'golang', 'grpc', 'kubernetes', 'kubernetes-operator', 'llm', 'machine-learning', 'mlops', 'orchestration-engine', 'production', 'production-grade', 'scale', 'workflow'] | ['data', 'data-analysis', 'data-science', 'dataops', 'declarative', 'fine-tuning', 'flyte', 'golang', 'grpc', 'kubernetes', 'kubernetes-operator', 'llm', 'machine-learning', 'mlops', 'orchestration-engine', 'production', 'production-grade', 'scale', 'workflow'] | 2024-01-12 | [('kestra-io/kestra', 0.7973306775093079, 'ml-ops', 2), ('dagster-io/dagster', 0.7850085496902466, 'ml-ops', 3), ('bodywork-ml/bodywork-core', 0.6820202469825745, 'ml-ops', 4), ('polyaxon/polyaxon', 0.6784146428108215, 'ml-ops', 5), ('mage-ai/mage-ai', 0.6692841053009033, 'ml-ops', 3), ('apache/airflow', 0.658141374588... | 198 | 4 | null | 11.79 | 1,217 | 503 | 52 | 0 | 21 | 106 | 21 | 1,213 | 1,310 | 90 | 1.1 | 60 |
440 | gis | https://github.com/osgeo/gdal | [] | null | [] | [] | null | null | null | osgeo/gdal | gdal | 4,275 | 2,286 | 167 | C++ | https://gdal.org | GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats. | osgeo | 2024-01-13 | 2012-10-09 | 590 | 7.245763 | https://avatars.githubusercontent.com/u/1058467?v=4 | GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats. | ['geospatial-data', 'raster', 'remote-sensing', 'vector'] | ['geospatial-data', 'raster', 'remote-sensing', 'vector'] | 2024-01-13 | [('remotesensinglab/raster4ml', 0.6307851076126099, 'gis', 2), ('earthlab/earthpy', 0.5730497241020203, 'gis', 2), ('perrygeo/python-rasterstats', 0.5707691311836243, 'gis', 0), ('microsoft/torchgeo', 0.5599908828735352, 'gis', 1), ('osgeo/grass', 0.5594460368156433, 'gis', 3), ('corteva/rioxarray', 0.5278557538986206,... | 562 | 6 | null | 70.27 | 578 | 506 | 137 | 0 | 11 | 15 | 11 | 578 | 1,053 | 90 | 1.8 | 60 |
978 | sim | https://github.com/astropy/astropy | [] | null | [] | [] | null | null | null | astropy/astropy | astropy | 4,079 | 1,687 | 139 | Python | https://www.astropy.org | Astronomy and astrophysics core library | astropy | 2024-01-14 | 2011-07-21 | 653 | 6.239729 | https://avatars.githubusercontent.com/u/847984?v=4 | Astronomy and astrophysics core library | ['astronomy', 'astrophysics', 'astropy', 'science'] | ['astronomy', 'astrophysics', 'astropy', 'science'] | 2024-01-13 | [('roban/cosmolopy', 0.5209611654281616, 'sim', 1)] | 514 | 7 | null | 37.42 | 561 | 395 | 152 | 0 | 9 | 12 | 9 | 561 | 2,172 | 90 | 3.9 | 60 |
1,820 | ml | https://github.com/google-deepmind/graphcast | ['forecasting'] | GraphCast: Learning skillful medium-range global weather forecasting | [] | [] | null | null | null | google-deepmind/graphcast | graphcast | 3,312 | 358 | 56 | Python | null | null | google-deepmind | 2024-01-14 | 2023-07-14 | 28 | 115.92 | https://avatars.githubusercontent.com/u/8596759?v=4 | GraphCast: Learning skillful medium-range global weather forecasting | ['weather', 'weather-forecast'] | ['forecasting', 'weather', 'weather-forecast'] | 2024-01-05 | [] | 8 | 2 | null | 0.29 | 45 | 17 | 6 | 0 | 1 | 2 | 1 | 45 | 125 | 90 | 2.8 | 60 |
1,879 | data | https://github.com/avaiga/taipy | [] | null | [] | [] | null | null | null | avaiga/taipy | taipy | 2,952 | 237 | 30 | Python | https://www.taipy.io | Turns Data and AI algorithms into production-ready web applications in no time. | avaiga | 2024-01-14 | 2022-02-18 | 101 | 29.063291 | https://avatars.githubusercontent.com/u/86434771?v=4 | Turns Data and AI algorithms into production-ready web applications in no time. | ['automation', 'data-engineering', 'data-ops', 'data-visualization', 'datascience', 'developer-tools', 'hacktoberfest2023', 'mlops', 'orchestration', 'pipeline', 'pipelines', 'taipy-core', 'taipy-gui', 'workflow'] | ['automation', 'data-engineering', 'data-ops', 'data-visualization', 'datascience', 'developer-tools', 'hacktoberfest2023', 'mlops', 'orchestration', 'pipeline', 'pipelines', 'taipy-core', 'taipy-gui', 'workflow'] | 2024-01-14 | [('bentoml/bentoml', 0.6463702321052551, 'ml-ops', 1), ('netflix/metaflow', 0.6367209553718567, 'ml-ops', 2), ('ploomber/ploomber', 0.6359885334968567, 'ml-ops', 4), ('mage-ai/mage-ai', 0.6288012266159058, 'ml-ops', 4), ('dagster-io/dagster', 0.6245914101600647, 'ml-ops', 4), ('orchest/orchest', 0.6196687817573547, 'ml... | 46 | 3 | null | 37.62 | 382 | 214 | 23 | 0 | 12 | 8 | 12 | 382 | 366 | 90 | 1 | 60 |
434 | nlp | https://github.com/argilla-io/argilla | [] | null | [] | [] | null | null | null | argilla-io/argilla | argilla | 2,823 | 284 | 24 | Python | https://docs.argilla.io | ✨Argilla: the open-source feedback platform for LLMs | argilla-io | 2024-01-14 | 2021-04-28 | 143 | 19.623635 | https://avatars.githubusercontent.com/u/18415507?v=4 | ✨Argilla: the open-source feedback platform for LLMs | ['active-learning', 'ai', 'annotation-tool', 'developer-tools', 'gpt-4', 'human-in-the-loop', 'langchain', 'llm', 'machine-learning', 'mlops', 'natural-language-processing', 'nlp', 'rlhf', 'text-annotation', 'text-labeling', 'weak-supervision', 'weakly-supervised-learning'] | ['active-learning', 'ai', 'annotation-tool', 'developer-tools', 'gpt-4', 'human-in-the-loop', 'langchain', 'llm', 'machine-learning', 'mlops', 'natural-language-processing', 'nlp', 'rlhf', 'text-annotation', 'text-labeling', 'weak-supervision', 'weakly-supervised-learning'] | 2024-01-12 | [('explosion/spacy-llm', 0.6727258563041687, 'llm', 5), ('tigerlab-ai/tiger', 0.6661051511764526, 'llm', 1), ('doccano/doccano', 0.6546259522438049, 'nlp', 4), ('hegelai/prompttools', 0.644296407699585, 'llm', 2), ('mooler0410/llmspracticalguide', 0.6409274935722351, 'study', 2), ('rasahq/rasa', 0.6305766105651855, 'll... | 75 | 4 | null | 25.37 | 802 | 596 | 33 | 0 | 31 | 44 | 31 | 801 | 1,068 | 90 | 1.3 | 60 |
1,469 | llm | https://github.com/alpha-vllm/llama2-accessory | ['pre-training', 'fine-tuning', 'deployment'] | null | [] | [] | null | null | null | alpha-vllm/llama2-accessory | LLaMA2-Accessory | 2,054 | 129 | 30 | Python | https://llama2-accessory.readthedocs.io/ | An Open-source Toolkit for LLM Development | alpha-vllm | 2024-01-13 | 2023-07-21 | 27 | 74.497409 | https://avatars.githubusercontent.com/u/140153551?v=4 | An Open-source Toolkit for LLM Development | [] | ['deployment', 'fine-tuning', 'pre-training'] | 2024-01-11 | [('tigerlab-ai/tiger', 0.7141748666763306, 'llm', 1), ('h2oai/h2o-llmstudio', 0.6861495971679688, 'llm', 1), ('bentoml/openllm', 0.6482536792755127, 'ml-ops', 1), ('iryna-kondr/scikit-llm', 0.6441587209701538, 'llm', 0), ('hegelai/prompttools', 0.6420565247535706, 'llm', 0), ('agenta-ai/agenta', 0.6384699940681458, 'll... | 19 | 5 | null | 9.48 | 73 | 61 | 6 | 0 | 0 | 0 | 0 | 73 | 107 | 90 | 1.5 | 60 |
1,709 | llm | https://github.com/huggingface/text-embeddings-inference | [] | null | [] | [] | null | null | null | huggingface/text-embeddings-inference | text-embeddings-inference | 1,520 | 65 | 20 | Rust | https://huggingface.co/docs/text-embeddings-inference/quick_tour | A blazing fast inference solution for text embeddings models | huggingface | 2024-01-14 | 2023-10-13 | 15 | 97.614679 | https://avatars.githubusercontent.com/u/25720743?v=4 | A blazing fast inference solution for text embeddings models | ['ai', 'embeddings', 'huggingface', 'llm', 'ml'] | ['ai', 'embeddings', 'huggingface', 'llm', 'ml'] | 2024-01-04 | [('chroma-core/chroma', 0.5832590460777283, 'data', 1), ('plasticityai/magnitude', 0.5618109703063965, 'nlp', 1), ('amansrivastava17/embedding-as-service', 0.5573744177818298, 'nlp', 2), ('koaning/whatlies', 0.5444438457489014, 'nlp', 1), ('infinitylogesh/mutate', 0.531061053276062, 'nlp', 0), ('sebischair/lbl2vec', 0.... | 7 | 2 | null | 1.25 | 110 | 87 | 3 | 0 | 8 | 32 | 8 | 110 | 172 | 90 | 1.6 | 60 |
1,591 | testing | https://github.com/confident-ai/deepeval | ['language-model', 'unit-testing'] | null | [] | [] | null | null | null | confident-ai/deepeval | deepeval | 1,014 | 60 | 9 | Python | https://docs.confident-ai.com/ | The Evaluation Framework for LLMs | confident-ai | 2024-01-13 | 2023-08-10 | 24 | 41.028902 | https://avatars.githubusercontent.com/u/130858411?v=4 | The Evaluation Framework for LLMs | ['chatgpt', 'evaluate-models', 'evaluate-news-article-with-nlp', 'evaluation', 'evaluation-framework', 'evaluation-metrics', 'large', 'llm', 'llm-evaluation', 'llm-evaluation-framework', 'llmops'] | ['chatgpt', 'evaluate-models', 'evaluate-news-article-with-nlp', 'evaluation', 'evaluation-framework', 'evaluation-metrics', 'language-model', 'large', 'llm', 'llm-evaluation', 'llm-evaluation-framework', 'llmops', 'unit-testing'] | 2024-01-12 | [('agenta-ai/agenta', 0.690017819404602, 'llm', 3), ('openai/evals', 0.6733431816101074, 'llm', 3), ('citadel-ai/langcheck', 0.6523064374923706, 'llm', 2), ('hiyouga/llama-factory', 0.6391016840934753, 'llm', 2), ('hiyouga/llama-efficient-tuning', 0.6391015648841858, 'llm', 2), ('mooler0410/llmspracticalguide', 0.63056... | 14 | 3 | null | 26.6 | 202 | 182 | 5 | 0 | 24 | 124 | 24 | 202 | 335 | 90 | 1.7 | 60 |
1,344 | util | https://github.com/faif/python-patterns | [] | null | [] | [] | null | null | null | faif/python-patterns | python-patterns | 38,820 | 6,988 | 1,661 | Python | null | A collection of design patterns/idioms in Python | faif | 2024-01-14 | 2012-06-06 | 607 | 63.86369 | null | A collection of design patterns/idioms in Python | ['design-patterns', 'idioms'] | ['design-patterns', 'idioms'] | 2023-01-27 | [('brandon-rhodes/python-patterns', 0.6763890385627747, 'util', 0), ('cosmicpython/book', 0.532017707824707, 'study', 0), ('grahamdumpleton/wrapt', 0.5319310426712036, 'util', 0), ('xrudelis/pytrait', 0.516368567943573, 'util', 0), ('pytoolz/toolz', 0.5127255320549011, 'util', 0)] | 128 | 4 | null | 0 | 2 | 2 | 141 | 12 | 0 | 0 | 0 | 2 | 11 | 90 | 5.5 | 59 |
108 | sim | https://github.com/atsushisakai/pythonrobotics | [] | null | [] | [] | null | null | null | atsushisakai/pythonrobotics | PythonRobotics | 20,781 | 6,275 | 511 | Python | https://atsushisakai.github.io/PythonRobotics/ | Python sample codes for robotics algorithms. | atsushisakai | 2024-01-14 | 2016-03-21 | 410 | 50.667712 | null | Python sample codes for robotics algorithms. | ['algorithm', 'animation', 'autonomous-driving', 'autonomous-navigation', 'autonomous-vehicles', 'control', 'cvxpy', 'ekf', 'localization', 'mapping', 'path-planning', 'robot', 'robotics', 'slam'] | ['algorithm', 'animation', 'autonomous-driving', 'autonomous-navigation', 'autonomous-vehicles', 'control', 'cvxpy', 'ekf', 'localization', 'mapping', 'path-planning', 'robot', 'robotics', 'slam'] | 2024-01-09 | [('thealgorithms/python', 0.58967125415802, 'study', 1), ('scikit-mobility/scikit-mobility', 0.5399863719940186, 'gis', 0), ('keon/algorithms', 0.5353425741195679, 'util', 1), ('python-odin/odin', 0.5244603753089905, 'util', 0), ('pandas-dev/pandas', 0.5196974277496338, 'pandas', 0), ('fchollet/deep-learning-with-pytho... | 121 | 4 | null | 2.56 | 59 | 56 | 95 | 0 | 0 | 0 | 0 | 59 | 27 | 90 | 0.5 | 59 |
2 | ml-dl | https://github.com/apache/incubator-mxnet | [] | null | [] | [] | null | null | null | apache/incubator-mxnet | mxnet | 20,667 | 6,894 | 1,074 | C++ | https://mxnet.apache.org | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more | apache | 2024-01-14 | 2015-04-30 | 456 | 45.251486 | https://avatars.githubusercontent.com/u/47359?v=4 | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more | ['mxnet'] | ['mxnet'] | 2023-01-26 | [('microsoft/deepspeed', 0.6390171051025391, 'ml-dl', 0), ('horovod/horovod', 0.6248153448104858, 'ml-ops', 1), ('nvidia/deeplearningexamples', 0.5984542965888977, 'ml-dl', 1), ('paddlepaddle/paddle', 0.5943779349327087, 'ml-dl', 0), ('alpa-projects/alpa', 0.5928085446357727, 'ml-dl', 0), ('google/trax', 0.583592414855... | 983 | 8 | null | 0.02 | 6 | 0 | 106 | 12 | 0 | 5 | 5 | 6 | 10 | 90 | 1.7 | 59 |
19 | time-series | https://github.com/facebook/prophet | ['time-series'] | null | [] | [] | 1 | null | null | facebook/prophet | prophet | 17,356 | 4,467 | 423 | Python | https://facebook.github.io/prophet | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. | facebook | 2024-01-13 | 2016-11-16 | 375 | 46.177119 | https://avatars.githubusercontent.com/u/69631?v=4 | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. | ['forecasting', 'r'] | ['forecasting', 'r', 'time-series'] | 2023-10-18 | [('nixtla/statsforecast', 0.586733341217041, 'time-series', 2), ('alkaline-ml/pmdarima', 0.581493079662323, 'time-series', 2), ('linkedin/greykite', 0.5375127196311951, 'ml', 0), ('winedarksea/autots', 0.5207078456878662, 'time-series', 2), ('firmai/atspy', 0.5104213356971741, 'time-series', 2)] | 173 | 4 | null | 0.65 | 58 | 16 | 87 | 3 | 4 | 2 | 4 | 58 | 72 | 90 | 1.2 | 59 |
177 | debug | https://github.com/cool-rr/pysnooper | [] | null | [] | [] | 1 | null | null | cool-rr/pysnooper | PySnooper | 16,144 | 954 | 232 | Python | null | Never use print for debugging again | cool-rr | 2024-01-14 | 2019-04-18 | 249 | 64.649886 | null | Never use print for debugging again | ['debug', 'debugger', 'introspection', 'logging'] | ['debug', 'debugger', 'introspection', 'logging'] | 2024-01-13 | [('gruns/icecream', 0.8130260705947876, 'debug', 1), ('samuelcolvin/python-devtools', 0.5116415619850159, 'debug', 1)] | 27 | 5 | null | 0.19 | 4 | 1 | 58 | 0 | 1 | 4 | 1 | 4 | 8 | 90 | 2 | 59 |
56 | term | https://github.com/pallets/click | ['terminal'] | null | [] | [] | 1 | null | null | pallets/click | click | 14,685 | 1,418 | 183 | Python | https://click.palletsprojects.com | Python composable command line interface toolkit | pallets | 2024-01-14 | 2014-04-24 | 509 | 28.810258 | https://avatars.githubusercontent.com/u/16748505?v=4 | Python composable command line interface toolkit | ['cli', 'click', 'pallets'] | ['cli', 'click', 'pallets', 'terminal'] | 2023-12-29 | [('google/python-fire', 0.6196329593658447, 'term', 1), ('pexpect/pexpect', 0.5701817870140076, 'util', 0), ('jquast/blessed', 0.5604668855667114, 'term', 2), ('hoffstadt/dearpygui', 0.5539004802703857, 'gui', 0), ('textualize/trogon', 0.5391209125518799, 'term', 3), ('beeware/toga', 0.5282005667686462, 'gui', 0), ('ur... | 366 | 3 | null | 1.87 | 43 | 27 | 118 | 0 | 4 | 5 | 4 | 43 | 53 | 90 | 1.2 | 59 |
1,215 | gamedev | https://github.com/kitao/pyxel | [] | null | [] | [] | null | null | null | kitao/pyxel | pyxel | 12,839 | 842 | 228 | Python | null | A retro game engine for Python | kitao | 2024-01-14 | 2018-06-10 | 294 | 43.62767 | null | A retro game engine for Python | ['8bit', 'fantasy-console', 'game', 'game-development', 'game-engine', 'gamedev', 'gameengine', 'pico-8', 'pyxel', 'rust', 'tic-80'] | ['8bit', 'fantasy-console', 'game', 'game-development', 'game-engine', 'gamedev', 'gameengine', 'pico-8', 'pyxel', 'rust', 'tic-80'] | 2024-01-13 | [('pokepetter/ursina', 0.6735712885856628, 'gamedev', 2), ('panda3d/panda3d', 0.6634293794631958, 'gamedev', 3), ('lordmauve/pgzero', 0.6230867505073547, 'gamedev', 0), ('renpy/renpy', 0.5945414304733276, 'viz', 1), ('pygame/pygame', 0.5883877873420715, 'gamedev', 2), ('pythonarcade/arcade', 0.5633159875869751, 'gamede... | 60 | 0 | null | 9.88 | 36 | 29 | 68 | 0 | 14 | 13 | 14 | 36 | 90 | 90 | 2.5 | 59 |
61 | pandas | https://github.com/ydataai/ydata-profiling | [] | null | [] | [] | 1 | null | null | ydataai/ydata-profiling | ydata-profiling | 11,667 | 1,607 | 150 | Python | https://docs.profiling.ydata.ai | 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames. | ydataai | 2024-01-14 | 2016-01-09 | 420 | 27.750255 | https://avatars.githubusercontent.com/u/57689451?v=4 | 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames. | ['big-data-analytics', 'data-analysis', 'data-exploration', 'data-profiling', 'data-quality', 'data-science', 'deep-learning', 'eda', 'exploration', 'exploratory-data-analysis', 'html-report', 'jupyter', 'jupyter-notebook', 'machine-learning', 'pandas', 'pandas-dataframe', 'pandas-profiling', 'statistics'] | ['big-data-analytics', 'data-analysis', 'data-exploration', 'data-profiling', 'data-quality', 'data-science', 'deep-learning', 'eda', 'exploration', 'exploratory-data-analysis', 'html-report', 'jupyter', 'jupyter-notebook', 'machine-learning', 'pandas', 'pandas-dataframe', 'pandas-profiling', 'statistics'] | 2024-01-08 | [('ydataai/ydata-quality', 0.6654260754585266, 'data', 2), ('hi-primus/optimus', 0.6320505142211914, 'ml-ops', 5), ('polyaxon/datatile', 0.6102992296218872, 'pandas', 6), ('great-expectations/great_expectations', 0.606023907661438, 'ml-ops', 5), ('unionai-oss/pandera', 0.5934801697731018, 'pandas', 2), ('pandas-dev/pan... | 117 | 3 | null | 2.83 | 80 | 30 | 98 | 0 | 17 | 38 | 17 | 80 | 92 | 90 | 1.1 | 59 |
50 | viz | https://github.com/mwaskom/seaborn | [] | null | [] | [] | null | null | null | mwaskom/seaborn | seaborn | 11,575 | 1,870 | 259 | Python | https://seaborn.pydata.org | Statistical data visualization in Python | mwaskom | 2024-01-14 | 2012-06-18 | 606 | 19.096158 | null | Statistical data visualization in Python | ['data-science', 'data-visualization', 'matplotlib', 'pandas'] | ['data-science', 'data-visualization', 'matplotlib', 'pandas'] | 2024-01-13 | [('altair-viz/altair', 0.8215170502662659, 'viz', 0), ('enthought/mayavi', 0.7422676086425781, 'viz', 0), ('man-group/dtale', 0.73142409324646, 'viz', 3), ('residentmario/geoplot', 0.7261803150177002, 'gis', 1), ('matplotlib/matplotlib', 0.6802253127098083, 'viz', 3), ('kanaries/pygwalker', 0.6736312508583069, 'pandas'... | 210 | 5 | null | 2.29 | 127 | 92 | 141 | 0 | 3 | 3 | 3 | 127 | 285 | 90 | 2.2 | 59 |
1,375 | ml | https://github.com/deepmind/alphafold | ['protein', 'biology'] | Implementation of the inference pipeline of AlphaFold v2 | [] | [] | null | null | null | deepmind/alphafold | alphafold | 11,231 | 2,018 | 215 | Python | null | Open source code for AlphaFold. | deepmind | 2024-01-14 | 2021-06-17 | 136 | 82.149425 | https://avatars.githubusercontent.com/u/8596759?v=4 | Open source code for AlphaFold. | [] | ['biology', 'protein'] | 2023-11-01 | [] | 19 | 3 | null | 0.54 | 82 | 30 | 31 | 2 | 1 | 5 | 1 | 82 | 154 | 90 | 1.9 | 59 |
1,782 | util | https://github.com/caronc/apprise | [] | null | [] | [] | null | null | null | caronc/apprise | apprise | 9,247 | 335 | 61 | Python | https://hub.docker.com/r/caronc/apprise | Apprise - Push Notifications that work with just about every platform! | caronc | 2024-01-14 | 2017-11-25 | 322 | 28.67922 | null | Apprise - Push Notifications that work with just about every platform! | ['alerts', 'apprise', 'framework', 'notification-api', 'notification-hub', 'notification-service', 'notifications', 'notifier', 'notify', 'push-notifications'] | ['alerts', 'apprise', 'framework', 'notification-api', 'notification-hub', 'notification-service', 'notifications', 'notifier', 'notify', 'push-notifications'] | 2024-01-06 | [('liiight/notifiers', 0.6810635924339294, 'util', 3)] | 57 | 3 | null | 2.21 | 81 | 55 | 75 | 0 | 7 | 8 | 7 | 81 | 179 | 90 | 2.2 | 59 |
1,391 | finance | https://github.com/ai4finance-foundation/finrl | ['reinforcement-learning'] | null | [] | [] | null | null | null | ai4finance-foundation/finrl | FinRL | 8,598 | 2,131 | 194 | Jupyter Notebook | https://discord.gg/trsr8SXpW5 | FinRL: Financial Reinforcement Learning. 🔥 | ai4finance-foundation | 2024-01-13 | 2020-07-26 | 183 | 46.910366 | https://avatars.githubusercontent.com/u/68813910?v=4 | FinRL: Financial Reinforcement Learning. 🔥 | ['algorithmic-trading', 'deep-reinforcement-learning', 'drl-algorithms', 'drl-framework', 'drl-trading-agents', 'finance', 'fintech', 'multi-agent-learning', 'openai-gym', 'pythorch', 'stock-markets', 'stock-trading', 'tensorflow2', 'trading-tasks'] | ['algorithmic-trading', 'deep-reinforcement-learning', 'drl-algorithms', 'drl-framework', 'drl-trading-agents', 'finance', 'fintech', 'multi-agent-learning', 'openai-gym', 'pythorch', 'reinforcement-learning', 'stock-markets', 'stock-trading', 'tensorflow2', 'trading-tasks'] | 2024-01-14 | [('ai4finance-foundation/fingpt', 0.6304659247398376, 'finance', 3), ('polakowo/vectorbt', 0.6179881691932678, 'finance', 2), ('keras-rl/keras-rl', 0.5993512272834778, 'ml-rl', 1), ('pytorch/rl', 0.5981391072273254, 'ml-rl', 1), ('openbb-finance/openbbterminal', 0.5771132111549377, 'finance', 1), ('thu-ml/tianshou', 0.... | 108 | 4 | null | 4.33 | 51 | 17 | 42 | 0 | 1 | 1 | 1 | 51 | 53 | 90 | 1 | 59 |
151 | ml | https://github.com/catboost/catboost | [] | null | [] | [] | null | null | null | catboost/catboost | catboost | 7,539 | 1,164 | 197 | Python | https://catboost.ai | A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU. | catboost | 2024-01-14 | 2017-07-18 | 341 | 22.108504 | https://avatars.githubusercontent.com/u/29043415?v=4 | A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU. | ['big-data', 'catboost', 'categorical-features', 'coreml', 'cuda', 'data-mining', 'data-science', 'decision-trees', 'gbdt', 'gbm', 'gpu', 'gpu-computing', 'gradient-boosting', 'kaggle', 'machine-learning', 'r', 'tutorial'] | ['big-data', 'catboost', 'categorical-features', 'coreml', 'cuda', 'data-mining', 'data-science', 'decision-trees', 'gbdt', 'gbm', 'gpu', 'gpu-computing', 'gradient-boosting', 'kaggle', 'machine-learning', 'r', 'tutorial'] | 2024-01-13 | [('microsoft/lightgbm', 0.8396483659744263, 'ml', 8), ('dmlc/xgboost', 0.7875171899795532, 'ml', 3), ('google/tf-quant-finance', 0.5715440511703491, 'finance', 2), ('gradio-app/gradio', 0.553999125957489, 'viz', 2), ('pycaret/pycaret', 0.5486772656440735, 'ml', 3), ('dask/dask-ml', 0.5368636250495911, 'ml', 0), ('oml-t... | 1,193 | 2 | null | 28.46 | 217 | 46 | 79 | 0 | 3 | 14 | 3 | 217 | 167 | 90 | 0.8 | 59 |
783 | diffusion | https://github.com/ashawkey/stable-dreamfusion | [] | null | [] | [] | null | null | null | ashawkey/stable-dreamfusion | stable-dreamfusion | 7,424 | 672 | 125 | Python | null | Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion. | ashawkey | 2024-01-14 | 2022-10-06 | 68 | 108.04158 | null | Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion. | ['dreamfusion', 'gui', 'image-to-3d', 'nerf', 'stable-diffusion', 'text-to-3d'] | ['dreamfusion', 'gui', 'image-to-3d', 'nerf', 'stable-diffusion', 'text-to-3d'] | 2023-08-02 | [('carson-katri/dream-textures', 0.5740616917610168, 'diffusion', 1), ('xavierxiao/dreambooth-stable-diffusion', 0.5586757659912109, 'diffusion', 1), ('sharonzhou/long_stable_diffusion', 0.5333707332611084, 'diffusion', 0), ('openai/point-e', 0.5210638642311096, 'util', 0), ('automatic1111/stable-diffusion-webui', 0.51... | 20 | 7 | null | 1.75 | 14 | 5 | 16 | 6 | 2 | 2 | 2 | 13 | 11 | 90 | 0.8 | 59 |
355 | ml-ops | https://github.com/netflix/metaflow | [] | null | [] | [] | null | null | null | netflix/metaflow | metaflow | 7,269 | 703 | 275 | Python | https://metaflow.org | :rocket: Build and manage real-life data science projects with ease! | netflix | 2024-01-14 | 2019-09-17 | 228 | 31.881579 | https://avatars.githubusercontent.com/u/913567?v=4 | 🚀 Build and manage real-life data science projects with ease! | ['ai', 'aws', 'azure', 'data-science', 'datascience', 'gcp', 'high-performance-computing', 'kubernetes', 'machine-learning', 'ml', 'ml-infrastructure', 'ml-platform', 'mlops', 'model-management', 'productivity', 'r', 'r-package', 'reproducible-research', 'rstats'] | ['ai', 'aws', 'azure', 'data-science', 'datascience', 'gcp', 'high-performance-computing', 'kubernetes', 'machine-learning', 'ml', 'ml-infrastructure', 'ml-platform', 'mlops', 'model-management', 'productivity', 'r', 'r-package', 'reproducible-research', 'rstats'] | 2024-01-11 | [('polyaxon/polyaxon', 0.6915358901023865, 'ml-ops', 5), ('iterative/dvc', 0.6912345886230469, 'ml-ops', 3), ('bentoml/bentoml', 0.6758896708488464, 'ml-ops', 6), ('orchest/orchest', 0.6532567739486694, 'ml-ops', 3), ('feast-dev/feast', 0.6503940224647522, 'ml-ops', 4), ('mlflow/mlflow', 0.6375054717063904, 'ml-ops', 4... | 78 | 3 | null | 4.12 | 136 | 79 | 53 | 0 | 36 | 27 | 36 | 136 | 131 | 90 | 1 | 59 |
1,605 | term | https://github.com/saulpw/visidata | [] | null | [] | [] | null | null | null | saulpw/visidata | visidata | 7,159 | 271 | 70 | Python | http://visidata.org | A terminal spreadsheet multitool for discovering and arranging data | saulpw | 2024-01-14 | 2016-10-27 | 378 | 18.903433 | null | A terminal spreadsheet multitool for discovering and arranging data | ['cli', 'csv', 'datajournalism', 'datawrangling', 'devops-tools', 'eda', 'hdf5', 'json', 'opendata', 'pandas', 'reconciliation', 'spreadsheet', 'sqlite', 'tabular-data', 'tsv', 'tui', 'unix-toolkit'] | ['cli', 'csv', 'datajournalism', 'datawrangling', 'devops-tools', 'eda', 'hdf5', 'json', 'opendata', 'pandas', 'reconciliation', 'spreadsheet', 'sqlite', 'tabular-data', 'tsv', 'tui', 'unix-toolkit'] | 2024-01-14 | [('gristlabs/grist-core', 0.6072668433189392, 'data', 1), ('simonw/datasette', 0.6051476001739502, 'data', 3), ('hi-primus/optimus', 0.5910075902938843, 'ml-ops', 0), ('hyperqueryhq/whale', 0.5835681557655334, 'data', 0), ('wireservice/csvkit', 0.5774484276771545, 'util', 0), ('mito-ds/monorepo', 0.5757395625114441, 'j... | 96 | 3 | null | 21.27 | 269 | 213 | 88 | 0 | 4 | 8 | 4 | 269 | 516 | 90 | 1.9 | 59 |
287 | testing | https://github.com/hypothesisworks/hypothesis | [] | null | [] | [] | 1 | null | null | hypothesisworks/hypothesis | hypothesis | 7,097 | 590 | 72 | Python | https://hypothesis.works | Hypothesis is a powerful, flexible, and easy to use library for property-based testing. | hypothesisworks | 2024-01-13 | 2013-03-10 | 568 | 12.488436 | https://avatars.githubusercontent.com/u/18481919?v=4 | Hypothesis is a powerful, flexible, and easy to use library for property-based testing. | ['fuzzing', 'property-based-testing', 'testing'] | ['fuzzing', 'property-based-testing', 'testing'] | 2024-01-13 | [('unionai-oss/pandera', 0.5685426592826843, 'pandas', 1), ('nedbat/coveragepy', 0.5107763409614563, 'testing', 0), ('pytest-dev/pytest', 0.505795955657959, 'testing', 1)] | 322 | 4 | null | 18.79 | 83 | 69 | 132 | 0 | 26 | 131 | 26 | 84 | 177 | 90 | 2.1 | 59 |
1,197 | diffusion | https://github.com/facebookresearch/dinov2 | [] | null | [] | [] | null | null | null | facebookresearch/dinov2 | dinov2 | 7,024 | 545 | 93 | Jupyter Notebook | null | PyTorch code and models for the DINOv2 self-supervised learning method. | facebookresearch | 2024-01-14 | 2023-03-29 | 43 | 160.156352 | https://avatars.githubusercontent.com/u/16943930?v=4 | PyTorch code and models for the DINOv2 self-supervised learning method. | [] | [] | 2023-12-01 | [('lightly-ai/lightly', 0.5861289501190186, 'ml', 0), ('idea-research/groundingdino', 0.5680932402610779, 'diffusion', 0), ('skorch-dev/skorch', 0.5518595576286316, 'ml-dl', 0), ('rasbt/machine-learning-book', 0.5447684526443481, 'study', 0), ('pytorch/ignite', 0.5208505988121033, 'ml-dl', 0), ('intel/intel-extension-f... | 6 | 1 | null | 0.63 | 140 | 62 | 10 | 1 | 0 | 0 | 0 | 140 | 246 | 90 | 1.8 | 59 |
872 | time-series | https://github.com/unit8co/darts | [] | null | [] | [] | null | null | null | unit8co/darts | darts | 6,872 | 766 | 60 | Python | https://unit8co.github.io/darts/ | A python library for user-friendly forecasting and anomaly detection on time series. | unit8co | 2024-01-13 | 2018-09-13 | 280 | 24.480407 | https://avatars.githubusercontent.com/u/39619745?v=4 | A python library for user-friendly forecasting and anomaly detection on time series. | ['anomaly-detection', 'data-science', 'deep-learning', 'forecasting', 'machine-learning', 'time-series'] | ['anomaly-detection', 'data-science', 'deep-learning', 'forecasting', 'machine-learning', 'time-series'] | 2024-01-13 | [('aistream-peelout/flow-forecast', 0.7890238165855408, 'time-series', 4), ('yzhao062/pyod', 0.7557379603385925, 'data', 4), ('tdameritrade/stumpy', 0.7482045888900757, 'time-series', 2), ('salesforce/merlion', 0.7470134496688843, 'time-series', 4), ('pycaret/pycaret', 0.7233750820159912, 'ml', 4), ('alkaline-ml/pmdari... | 110 | 4 | null | 3.79 | 228 | 127 | 65 | 0 | 5 | 7 | 5 | 228 | 353 | 90 | 1.5 | 59 |
1,090 | llm | https://github.com/eleutherai/gpt-neox | [] | null | [] | [] | null | null | null | eleutherai/gpt-neox | gpt-neox | 6,319 | 921 | 121 | Python | null | An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library. | eleutherai | 2024-01-13 | 2020-12-22 | 162 | 39.006173 | https://avatars.githubusercontent.com/u/68924597?v=4 | An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library. | ['deepspeed-library', 'gpt-3', 'language-model', 'transformers'] | ['deepspeed-library', 'gpt-3', 'language-model', 'transformers'] | 2024-01-13 | [('eleutherai/gpt-neo', 0.6265007257461548, 'llm', 3), ('microsoft/deepspeed', 0.5843392610549927, 'ml-dl', 0), ('marella/ctransformers', 0.5529630184173584, 'nlp', 1), ('karpathy/mingpt', 0.5511136651039124, 'llm', 0), ('huggingface/optimum', 0.5265071988105774, 'ml', 1), ('pytorch/pytorch', 0.5058263540267944, 'ml-dl... | 111 | 4 | null | 3.4 | 83 | 56 | 37 | 0 | 2 | 1 | 2 | 83 | 114 | 90 | 1.4 | 59 |
763 | data | https://github.com/gristlabs/grist-core | [] | null | [] | [] | null | null | null | gristlabs/grist-core | grist-core | 5,846 | 240 | 50 | TypeScript | https://www.getgrist.com/ | Grist is the evolution of spreadsheets. | gristlabs | 2024-01-14 | 2020-05-22 | 192 | 30.357567 | https://avatars.githubusercontent.com/u/19978005?v=4 | Grist is the evolution of spreadsheets. | ['awesome', 'database', 'spreadsheet'] | ['awesome', 'database', 'spreadsheet'] | 2024-01-11 | [('saulpw/visidata', 0.6072668433189392, 'term', 1)] | 73 | 1 | null | 15.33 | 194 | 96 | 44 | 0 | 14 | 7 | 14 | 194 | 316 | 90 | 1.6 | 59 |
432 | util | https://github.com/scikit-image/scikit-image | [] | null | [] | [] | null | null | null | scikit-image/scikit-image | scikit-image | 5,735 | 2,241 | 186 | Python | https://scikit-image.org | Image processing in Python | scikit-image | 2024-01-13 | 2011-07-07 | 655 | 8.746187 | https://avatars.githubusercontent.com/u/897180?v=4 | Image processing in Python | ['computer-vision', 'image-processing', 'spec-0', 'spec-1', 'spec-4'] | ['computer-vision', 'image-processing', 'spec-0', 'spec-1', 'spec-4'] | 2024-01-11 | [('luispedro/mahotas', 0.6524010300636292, 'viz', 1), ('python-pillow/pillow', 0.6156206130981445, 'util', 1), ('zulko/moviepy', 0.5875822305679321, 'util', 0), ('imageio/imageio', 0.5782924890518188, 'util', 0), ('networkx/networkx', 0.5438209772109985, 'graph', 3), ('lightly-ai/lightly', 0.5242587924003601, 'ml', 1),... | 644 | 8 | null | 10.75 | 209 | 99 | 152 | 0 | 11 | 9 | 11 | 208 | 481 | 90 | 2.3 | 59 |
1,258 | llm | https://github.com/lightning-ai/lit-llama | ['llama', 'language-model', 'nanogpt'] | null | [] | [] | null | null | null | lightning-ai/lit-llama | lit-llama | 5,520 | 473 | 67 | Python | null | Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed. | lightning-ai | 2024-01-14 | 2023-03-22 | 44 | 123.057325 | https://avatars.githubusercontent.com/u/58386951?v=4 | Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed. | [] | ['language-model', 'llama', 'nanogpt'] | 2023-07-19 | [('lightning-ai/lit-gpt', 0.721184253692627, 'llm', 1), ('jzhang38/tinyllama', 0.6785302758216858, 'llm', 2), ('microsoft/llama-2-onnx', 0.643981397151947, 'llm', 2), ('tloen/alpaca-lora', 0.6250495314598083, 'llm', 2), ('bobazooba/xllm', 0.6132877469062805, 'llm', 1), ('hiyouga/llama-factory', 0.5843560099601746, 'llm... | 32 | 6 | null | 4.31 | 46 | 26 | 10 | 6 | 0 | 0 | 0 | 46 | 24 | 90 | 0.5 | 59 |
185 | ml-dl | https://github.com/google/flax | ['neural-network'] | null | [] | [] | null | null | null | google/flax | flax | 5,105 | 582 | 82 | Python | https://flax.readthedocs.io | Flax is a neural network library for JAX that is designed for flexibility. | google | 2024-01-14 | 2020-01-10 | 211 | 24.128967 | https://avatars.githubusercontent.com/u/1342004?v=4 | Flax is a neural network library for JAX that is designed for flexibility. | ['jax'] | ['jax', 'neural-network'] | 2024-01-12 | [('deepmind/dm-haiku', 0.6950955986976624, 'ml-dl', 1), ('deepmind/synjax', 0.6082916259765625, 'math', 1), ('deepmind/chex', 0.5962191820144653, 'ml-dl', 1), ('young-geng/easylm', 0.5341013073921204, 'llm', 1), ('google/trax', 0.5265333652496338, 'ml-dl', 1)] | 215 | 2 | null | 8.6 | 213 | 169 | 49 | 0 | 14 | 9 | 14 | 212 | 281 | 90 | 1.3 | 59 |
1,819 | study | https://github.com/udlbook/udlbook | ['book', 'deep-learning'] | null | [] | [] | null | null | null | udlbook/udlbook | udlbook | 4,087 | 847 | 76 | Jupyter Notebook | null | Understanding Deep Learning - Simon J.D. Prince | udlbook | 2024-01-14 | 2022-08-01 | 78 | 52.301645 | null | Understanding Deep Learning - Simon J.D. Prince | [] | ['book', 'deep-learning'] | 2024-01-10 | [('mrdbourke/pytorch-deep-learning', 0.6033921837806702, 'study', 1), ('rasbt/stat453-deep-learning-ss20', 0.5738182663917542, 'study', 0), ('d2l-ai/d2l-en', 0.573790431022644, 'study', 2), ('tensorflow/tensor2tensor', 0.5561156868934631, 'ml', 1), ('rasbt/deeplearning-models', 0.5459153056144714, 'ml-dl', 0), ('ageron... | 8 | 3 | null | 7.65 | 43 | 40 | 18 | 0 | 35 | 28 | 35 | 43 | 57 | 90 | 1.3 | 59 |
1,442 | llm | https://github.com/kyegomez/tree-of-thoughts | ['prompt-engineering'] | null | [] | [] | null | null | null | kyegomez/tree-of-thoughts | tree-of-thoughts | 3,761 | 361 | 48 | Python | https://discord.gg/qUtxnK2NMf | Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70% | kyegomez | 2024-01-14 | 2023-05-21 | 36 | 103.649606 | null | Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70% | ['artificial-intelligence', 'chatgpt', 'deep-learning', 'gpt4', 'multimodal', 'prompt', 'prompt-engineering', 'prompt-learning', 'prompt-tuning'] | ['artificial-intelligence', 'chatgpt', 'deep-learning', 'gpt4', 'multimodal', 'prompt', 'prompt-engineering', 'prompt-learning', 'prompt-tuning'] | 2023-12-24 | [('spcl/graph-of-thoughts', 0.6711254715919495, 'llm', 1), ('lupantech/chameleon-llm', 0.6684974431991577, 'llm', 1), ('keirp/automatic_prompt_engineer', 0.6476341485977173, 'llm', 1), ('eugeneyan/obsidian-copilot', 0.6086257100105286, 'llm', 0), ('stanfordnlp/dspy', 0.5961645245552063, 'llm', 0), ('guidance-ai/guidanc... | 7 | 3 | null | 4.6 | 7 | 2 | 8 | 1 | 30 | 46 | 30 | 7 | 7 | 90 | 1 | 59 |
4 | pandas | https://github.com/aws/aws-sdk-pandas | ['apache-arrow', 'parquet', 'awswrangler', 'emr'] | null | [] | [] | 1 | null | null | aws/aws-sdk-pandas | aws-sdk-pandas | 3,713 | 668 | 61 | Python | https://aws-sdk-pandas.readthedocs.io | pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL). | aws | 2024-01-13 | 2019-02-26 | 257 | 14.447471 | https://avatars.githubusercontent.com/u/2232217?v=4 | pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL). | ['amazon-athena', 'amazon-sagemaker-notebook', 'apache-arrow', 'apache-parquet', 'athena', 'aws', 'aws-glue', 'aws-lambda', 'data-engineering', 'data-science', 'emr', 'etl', 'glue-catalog', 'lambda', 'modin', 'mysql', 'pandas', 'ray', 'redshift'] | ['amazon-athena', 'amazon-sagemaker-notebook', 'apache-arrow', 'apache-parquet', 'athena', 'aws', 'aws-glue', 'aws-lambda', 'awswrangler', 'data-engineering', 'data-science', 'emr', 'etl', 'glue-catalog', 'lambda', 'modin', 'mysql', 'pandas', 'parquet', 'ray', 'redshift'] | 2024-01-12 | [('airbytehq/airbyte', 0.6343478560447693, 'data', 4), ('pynamodb/pynamodb', 0.6329684257507324, 'data', 1), ('prefecthq/prefect-aws', 0.6139408946037292, 'data', 1), ('airbnb/omniduct', 0.5810672044754028, 'data', 0), ('tobymao/sqlglot', 0.5701399445533752, 'data', 2), ('ibis-project/ibis', 0.563861608505249, 'data', ... | 143 | 4 | null | 7.15 | 140 | 127 | 59 | 0 | 14 | 24 | 14 | 140 | 498 | 90 | 3.6 | 59 |
1,496 | ml-ops | https://github.com/zenml-io/zenml | [] | null | [] | [] | null | null | null | zenml-io/zenml | zenml | 3,428 | 370 | 40 | Python | https://zenml.io | ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io. | zenml-io | 2024-01-14 | 2020-11-19 | 166 | 20.562125 | https://avatars.githubusercontent.com/u/88676955?v=4 | ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io. | ['ai', 'automl', 'data-science', 'deep-learning', 'devops-tools', 'llm', 'llmops', 'machine-learning', 'metadata-tracking', 'ml', 'mlops', 'pipelines', 'production-ready', 'pytorch', 'tensorflow', 'workflow', 'zenml'] | ['ai', 'automl', 'data-science', 'deep-learning', 'devops-tools', 'llm', 'llmops', 'machine-learning', 'metadata-tracking', 'ml', 'mlops', 'pipelines', 'production-ready', 'pytorch', 'tensorflow', 'workflow', 'zenml'] | 2024-01-13 | [('allegroai/clearml', 0.66759192943573, 'ml-ops', 4), ('polyaxon/polyaxon', 0.6621537804603577, 'ml-ops', 9), ('orchest/orchest', 0.6482174396514893, 'ml-ops', 3), ('ploomber/ploomber', 0.6197214722633362, 'ml-ops', 5), ('fmind/mlops-python-package', 0.6134677529335022, 'template', 3), ('avaiga/taipy', 0.5993794202804... | 84 | 3 | null | 16.25 | 345 | 300 | 38 | 0 | 41 | 39 | 41 | 345 | 579 | 90 | 1.7 | 59 |
1,610 | llm | https://github.com/li-plus/chatglm.cpp | [] | null | [] | [] | null | null | null | li-plus/chatglm.cpp | chatglm.cpp | 2,154 | 330 | 32 | C++ | null | C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & more LLMs | li-plus | 2024-01-14 | 2023-05-23 | 36 | 59.833333 | null | C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & more LLMs | ['baichuan', 'baichuan2', 'chatglm', 'chatglm2', 'chatglm3', 'codegeex2-6b', 'internlm', 'large-language-models', 'nlp'] | ['baichuan', 'baichuan2', 'chatglm', 'chatglm2', 'chatglm3', 'codegeex2-6b', 'internlm', 'large-language-models', 'nlp'] | 2023-11-25 | [('thudm/chatglm2-6b', 0.7250033617019653, 'llm', 2), ('intel/intel-extension-for-transformers', 0.6037748456001282, 'perf', 0), ('microsoft/autogen', 0.5944321751594543, 'llm', 0), ('nomic-ai/gpt4all', 0.5896359086036682, 'llm', 0), ('next-gpt/next-gpt', 0.5851370096206665, 'llm', 1), ('hiyouga/llama-factory', 0.58387... | 11 | 6 | null | 1.37 | 122 | 48 | 8 | 2 | 12 | 18 | 12 | 122 | 223 | 90 | 1.8 | 59 |
1,423 | llm | https://github.com/hegelai/prompttools | ['prompt-engineering', 'testing'] | null | [] | [] | null | null | null | hegelai/prompttools | prompttools | 2,100 | 158 | 24 | Python | http://prompttools.readthedocs.io | Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB). | hegelai | 2024-01-14 | 2023-06-25 | 31 | 67.123288 | https://avatars.githubusercontent.com/u/136523567?v=4 | Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB). | ['deep-learning', 'developer-tools', 'embeddings', 'large-language-models', 'llms', 'machine-learning', 'prompt-engineering', 'vector-search'] | ['deep-learning', 'developer-tools', 'embeddings', 'large-language-models', 'llms', 'machine-learning', 'prompt-engineering', 'testing', 'vector-search'] | 2024-01-03 | [('agenta-ai/agenta', 0.6764405965805054, 'llm', 3), ('tigerlab-ai/tiger', 0.6615456342697144, 'llm', 1), ('argilla-io/argilla', 0.644296407699585, 'nlp', 2), ('alpha-vllm/llama2-accessory', 0.6420565247535706, 'llm', 0), ('doccano/doccano', 0.6014738082885742, 'nlp', 1), ('llmware-ai/llmware', 0.6007319092750549, 'llm... | 10 | 3 | null | 11.04 | 28 | 15 | 7 | 0 | 5 | 10 | 5 | 28 | 41 | 90 | 1.5 | 59 |
1,741 | llm | https://github.com/cheshire-cat-ai/core | [] | null | [] | [] | null | null | null | cheshire-cat-ai/core | core | 1,490 | 186 | 19 | Python | https://cheshirecat.ai | Production ready AI assistant framework | cheshire-cat-ai | 2024-01-13 | 2023-02-08 | 50 | 29.297753 | https://avatars.githubusercontent.com/u/135242343?v=4 | Production ready AI assistant framework | ['ai', 'assistant', 'chatbot', 'docker', 'llm', 'plugin', 'vector-search'] | ['ai', 'assistant', 'chatbot', 'docker', 'llm', 'plugin', 'vector-search'] | 2024-01-04 | [('prefecthq/marvin', 0.7232251167297363, 'nlp', 2), ('embedchain/embedchain', 0.6973840594291687, 'llm', 2), ('pathwaycom/llm-app', 0.6957066059112549, 'llm', 2), ('deepset-ai/haystack', 0.6507551074028015, 'llm', 1), ('rcgai/simplyretrieve', 0.6481109261512756, 'llm', 0), ('lm-sys/fastchat', 0.6361826062202454, 'llm'... | 59 | 2 | null | 23.79 | 206 | 186 | 11 | 0 | 0 | 20 | 20 | 205 | 370 | 90 | 1.8 | 59 |
1,851 | llm | https://github.com/epfllm/meditron | ['medical', 'language-model'] | null | [] | [] | null | null | null | epfllm/meditron | meditron | 1,291 | 131 | 20 | Python | https://huggingface.co/epfl-llm | Meditron is a suite of open-source medical Large Language Models (LLMs). | epfllm | 2024-01-13 | 2023-11-23 | 9 | 132.897059 | https://avatars.githubusercontent.com/u/129088087?v=4 | Meditron is a suite of open-source medical Large Language Models (LLMs). | [] | ['language-model', 'medical'] | 2024-01-12 | [('bigscience-workshop/biomedical', 0.5808714032173157, 'data', 0), ('qanastek/drbert', 0.5632989406585693, 'llm', 1), ('salesforce/xgen', 0.5559400320053101, 'llm', 1), ('tsinghuadatabasegroup/db-gpt', 0.5455986261367798, 'llm', 1), ('hannibal046/awesome-llm', 0.5448260307312012, 'study', 1), ('lianjiatech/belle', 0.5... | 9 | 6 | null | 1.15 | 25 | 17 | 2 | 0 | 0 | 0 | 0 | 25 | 33 | 90 | 1.3 | 59 |
164 | term | https://github.com/tqdm/tqdm | [] | null | [] | [] | 1 | null | null | tqdm/tqdm | tqdm | 26,830 | 1,377 | 207 | Python | https://tqdm.github.io | :zap: A Fast, Extensible Progress Bar for Python and CLI | tqdm | 2024-01-14 | 2015-06-03 | 451 | 59.377174 | https://avatars.githubusercontent.com/u/12731565?v=4 | :zap: A Fast, Extensible Progress Bar for Python and CLI | ['cli', 'console', 'discord', 'gui', 'jupyter', 'keras', 'meter', 'pandas', 'parallel', 'progress', 'progress-bar', 'progressbar', 'progressmeter', 'rate', 'telegram', 'terminal', 'time', 'utilities'] | ['cli', 'console', 'discord', 'gui', 'jupyter', 'keras', 'meter', 'pandas', 'parallel', 'progress', 'progress-bar', 'progressbar', 'progressmeter', 'rate', 'telegram', 'terminal', 'time', 'utilities'] | 2023-08-10 | [('wolph/python-progressbar', 0.7864949107170105, 'util', 9), ('rockhopper-technologies/enlighten', 0.7503482699394226, 'term', 0), ('rsalmei/alive-progress', 0.6888198256492615, 'util', 5), ('erotemic/ubelt', 0.5793629884719849, 'util', 1), ('sumerc/yappi', 0.549595832824707, 'profiling', 0), ('pypy/pypy', 0.542697906... | 112 | 3 | null | 0.6 | 51 | 6 | 105 | 5 | 5 | 18 | 5 | 51 | 46 | 90 | 0.9 | 58 |
31 | data | https://github.com/jaidedai/easyocr | [] | null | [] | [] | null | null | null | jaidedai/easyocr | EasyOCR | 20,722 | 2,893 | 299 | Python | https://www.jaided.ai | Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc. | jaidedai | 2024-01-14 | 2020-03-14 | 202 | 102.366972 | https://avatars.githubusercontent.com/u/61448029?v=4 | Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc. | ['cnn', 'crnn', 'data-mining', 'deep-learning', 'easyocr', 'image-processing', 'information-retrieval', 'lstm', 'machine-learning', 'ocr', 'optical-character-recognition', 'pytorch', 'scene-text', 'scene-text-recognition'] | ['cnn', 'crnn', 'data-mining', 'deep-learning', 'easyocr', 'image-processing', 'information-retrieval', 'lstm', 'machine-learning', 'ocr', 'optical-character-recognition', 'pytorch', 'scene-text', 'scene-text-recognition'] | 2023-09-04 | [('rapidai/rapidocr', 0.6983810663223267, 'data', 3), ('alibaba/easynlp', 0.5166882872581482, 'nlp', 3), ('lucidrains/imagen-pytorch', 0.5161765217781067, 'ml-dl', 1), ('madmaze/pytesseract', 0.5150726437568665, 'data', 1), ('hrnet/hrnet-semantic-segmentation', 0.5142496824264526, 'ml', 0), ('imageio/imageio', 0.505763... | 128 | 1 | null | 0.38 | 73 | 17 | 47 | 4 | 1 | 6 | 1 | 73 | 79 | 90 | 1.1 | 58 |
1,777 | ml-dl | https://github.com/openai/clip | ['clip'] | null | [] | [] | null | null | null | openai/clip | CLIP | 20,129 | 2,785 | 301 | Jupyter Notebook | null | CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image | openai | 2024-01-14 | 2020-12-16 | 162 | 123.599123 | https://avatars.githubusercontent.com/u/14957082?v=4 | CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image | ['deep-learning', 'machine-learning'] | ['clip', 'deep-learning', 'machine-learning'] | 2023-07-08 | [('jina-ai/clip-as-service', 0.6114118695259094, 'nlp', 1), ('rom1504/clip-retrieval', 0.5981614589691162, 'ml', 2), ('alibaba/easynlp', 0.5683876872062683, 'nlp', 2), ('google-research/electra', 0.5659348964691162, 'ml-dl', 1), ('microsoft/unilm', 0.5614645481109619, 'nlp', 0), ('salesforce/blip', 0.5517219305038452, ... | 20 | 4 | null | 0.04 | 38 | 7 | 37 | 6 | 0 | 0 | 0 | 38 | 47 | 90 | 1.2 | 58 |
103 | ml-ops | https://github.com/spotify/luigi | [] | null | [] | [] | null | null | null | spotify/luigi | luigi | 17,022 | 2,388 | 477 | Python | null | Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in. | spotify | 2024-01-13 | 2012-09-20 | 592 | 28.718727 | https://avatars.githubusercontent.com/u/251374?v=4 | Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in. | ['hadoop', 'luigi', 'orchestration-framework', 'scheduling'] | ['hadoop', 'luigi', 'orchestration-framework', 'scheduling'] | 2024-01-08 | [('backtick-se/cowait', 0.5577235221862793, 'util', 0), ('dagster-io/dagster', 0.5423729419708252, 'ml-ops', 0), ('apache/spark', 0.537491500377655, 'data', 0), ('flyteorg/flyte', 0.5278602242469788, 'ml-ops', 0), ('ploomber/ploomber', 0.5267884135246277, 'ml-ops', 0), ('kestra-io/kestra', 0.5256256461143494, 'ml-ops',... | 613 | 4 | null | 0.44 | 22 | 16 | 138 | 0 | 4 | 6 | 4 | 22 | 19 | 90 | 0.9 | 58 |
668 | diffusion | https://github.com/borisdayma/dalle-mini | [] | null | [] | [] | null | null | null | borisdayma/dalle-mini | dalle-mini | 14,484 | 1,186 | 110 | Python | https://www.craiyon.com | DALL·E Mini - Generate images from a text prompt | borisdayma | 2024-01-13 | 2021-07-03 | 134 | 107.744952 | null | DALL·E Mini - Generate images from a text prompt | [] | [] | 2023-08-22 | [('saharmor/dalle-playground', 0.7689334750175476, 'diffusion', 0), ('lucidrains/deep-daze', 0.5611160397529602, 'ml', 0), ('laion-ai/dalle2-laion', 0.5235878229141235, 'diffusion', 0), ('1j01/textual-paint', 0.510983943939209, 'term', 0), ('thudm/cogvideo', 0.5106388926506042, 'ml', 0), ('openai/image-gpt', 0.50320178... | 28 | 7 | null | 0.27 | 3 | 0 | 31 | 5 | 0 | 2 | 2 | 3 | 3 | 90 | 1 | 58 |
1,473 | web | https://github.com/getpelican/pelican | [] | null | [] | [] | null | null | null | getpelican/pelican | pelican | 11,956 | 1,832 | 339 | Python | https://getpelican.com | Static site generator that supports Markdown and reST syntax. Powered by Python. | getpelican | 2024-01-13 | 2010-10-16 | 693 | 17.241862 | https://avatars.githubusercontent.com/u/2043492?v=4 | Static site generator that supports Markdown and reST syntax. Powered by Python. | ['pelican', 'static-site-generator'] | ['pelican', 'static-site-generator'] | 2024-01-12 | [('python-markdown/markdown', 0.6716626882553101, 'util', 0), ('mkdocs/mkdocs', 0.5778642296791077, 'util', 1), ('sphinx-doc/sphinx', 0.5320377349853516, 'util', 0), ('google/latexify_py', 0.5140236020088196, 'util', 0), ('instagram/monkeytype', 0.5085812211036682, 'typing', 0)] | 454 | 6 | null | 2.4 | 141 | 110 | 161 | 0 | 2 | 5 | 2 | 141 | 258 | 90 | 1.8 | 58 |
1,176 | llm | https://github.com/databrickslabs/dolly | [] | null | [] | [] | null | null | null | databrickslabs/dolly | dolly | 10,687 | 1,161 | 132 | Python | https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html | Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform | databrickslabs | 2024-01-13 | 2023-03-24 | 44 | 239.772436 | https://avatars.githubusercontent.com/u/49501376?v=4 | Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform | ['chatbot', 'databricks', 'dolly', 'gpt'] | ['chatbot', 'databricks', 'dolly', 'gpt'] | 2023-06-30 | [('lm-sys/fastchat', 0.6816812753677368, 'llm', 1), ('rasahq/rasa', 0.6492189168930054, 'llm', 1), ('microsoft/autogen', 0.6176787614822388, 'llm', 2), ('deeppavlov/deeppavlov', 0.5981650352478027, 'nlp', 1), ('huggingface/text-generation-inference', 0.5939000248908997, 'llm', 1), ('infinitylogesh/mutate', 0.5938010811... | 14 | 3 | null | 1.31 | 3 | 1 | 10 | 7 | 0 | 0 | 0 | 3 | 2 | 90 | 0.7 | 58 |
1,798 | web | https://github.com/aws/chalice | [] | null | [] | [] | 1 | null | null | aws/chalice | chalice | 10,151 | 1,087 | 239 | Python | null | Python Serverless Microframework for AWS | aws | 2024-01-13 | 2016-05-27 | 400 | 25.341298 | https://avatars.githubusercontent.com/u/2232217?v=4 | Python Serverless Microframework for AWS | ['aws', 'aws-apigateway', 'aws-lambda', 'cloud', 'lambda', 'python27', 'serverless', 'serverless-framework'] | ['aws', 'aws-apigateway', 'aws-lambda', 'cloud', 'lambda', 'python27', 'serverless', 'serverless-framework'] | 2023-12-14 | [('nficano/python-lambda', 0.9045315980911255, 'util', 3), ('jordaneremieff/mangum', 0.677313506603241, 'web', 4), ('aws/aws-lambda-python-runtime-interface-client', 0.672527015209198, 'util', 0), ('boto/boto3', 0.66681307554245, 'util', 2), ('geeogi/async-python-lambda-template', 0.6311405301094055, 'template', 0), ('... | 200 | 5 | null | 0.88 | 51 | 17 | 93 | 1 | 0 | 12 | 12 | 51 | 64 | 90 | 1.3 | 58 |
1,125 | util | https://github.com/secdev/scapy | [] | null | [] | [] | null | null | null | secdev/scapy | scapy | 9,682 | 2,001 | 228 | Python | https://scapy.net | Scapy: the Python-based interactive packet manipulation program & library. Supports Python 2 & Python 3. | secdev | 2024-01-13 | 2015-10-01 | 434 | 22.2721 | https://avatars.githubusercontent.com/u/14927208?v=4 | Scapy: the Python-based interactive packet manipulation program & library. Supports Python 2 & Python 3. | ['network', 'network-analysis', 'network-discovery', 'network-security', 'network-visualization', 'packet-analyser', 'packet-capture', 'packet-crafting', 'packet-sniffer', 'pcap', 'scapy', 'security', 'security-tools'] | ['network', 'network-analysis', 'network-discovery', 'network-security', 'network-visualization', 'packet-analyser', 'packet-capture', 'packet-crafting', 'packet-sniffer', 'pcap', 'scapy', 'security', 'security-tools'] | 2024-01-01 | [('hoffstadt/dearpygui', 0.5505430698394775, 'gui', 0), ('paramiko/paramiko', 0.5442431569099426, 'util', 0), ('pyca/pynacl', 0.5417189002037048, 'util', 0), ('alexmojaki/snoop', 0.5415452122688293, 'debug', 0), ('requests/toolbelt', 0.5415241122245789, 'util', 0), ('pyston/pyston', 0.5411231517791748, 'util', 0), ('py... | 446 | 4 | null | 3.81 | 267 | 229 | 101 | 1 | 0 | 64 | 64 | 267 | 140 | 90 | 0.5 | 58 |
285 | data | https://github.com/simonw/datasette | [] | null | [] | [] | 1 | null | null | simonw/datasette | datasette | 8,614 | 623 | 102 | Python | https://datasette.io | An open source multi-tool for exploring and publishing data | simonw | 2024-01-13 | 2017-10-23 | 327 | 26.331004 | null | An open source multi-tool for exploring and publishing data | ['asgi', 'automatic-api', 'csv', 'datasets', 'datasette', 'datasette-io', 'docker', 'json', 'sql', 'sqlite'] | ['asgi', 'automatic-api', 'csv', 'datasets', 'datasette', 'datasette-io', 'docker', 'json', 'sql', 'sqlite'] | 2024-01-12 | [('airbytehq/airbyte', 0.663290798664093, 'data', 0), ('meltano/meltano', 0.6087267398834229, 'ml-ops', 0), ('saulpw/visidata', 0.6051476001739502, 'term', 3), ('airbnb/omniduct', 0.6034160256385803, 'data', 0), ('zenodo/zenodo', 0.6021542549133301, 'util', 0), ('tiangolo/full-stack-fastapi-postgresql', 0.5789318084716... | 75 | 4 | null | 2.62 | 67 | 20 | 76 | 0 | 10 | 23 | 10 | 67 | 95 | 90 | 1.4 | 58 |
1,308 | study | https://github.com/mooler0410/llmspracticalguide | ['awesome'] | null | [] | [] | null | null | null | mooler0410/llmspracticalguide | LLMsPracticalGuide | 7,737 | 583 | 168 | null | https://arxiv.org/abs/2304.13712v2 | A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers) | mooler0410 | 2024-01-14 | 2023-04-23 | 40 | 192.053191 | null | A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers) | ['large-language-models', 'natural-language-processing', 'nlp', 'survey'] | ['awesome', 'large-language-models', 'natural-language-processing', 'nlp', 'survey'] | 2023-08-06 | [('salesforce/xgen', 0.6607375741004944, 'llm', 2), ('eugeneyan/open-llms', 0.6558331847190857, 'study', 2), ('explosion/spacy-llm', 0.6550344228744507, 'llm', 3), ('dylanhogg/llmgraph', 0.6462394595146179, 'ml', 0), ('young-geng/easylm', 0.6447182893753052, 'llm', 2), ('argilla-io/argilla', 0.6409274935722351, 'nlp', ... | 13 | 6 | null | 1.67 | 7 | 1 | 9 | 5 | 0 | 0 | 0 | 7 | 2 | 90 | 0.3 | 58 |
710 | util | https://github.com/jazzband/pip-tools | [] | null | [] | [] | null | null | null | jazzband/pip-tools | pip-tools | 7,269 | 607 | 104 | Python | https://pip-tools.rtfd.io | A set of tools to keep your pinned Python dependencies fresh. | jazzband | 2024-01-13 | 2012-09-10 | 594 | 12.234431 | https://avatars.githubusercontent.com/u/15129049?v=4 | A set of tools to keep your pinned Python dependencies fresh. | ['hashes', 'lockfile', 'packaging', 'pip', 'pip-compile', 'pip-tools', 'requirements', 'setuptools'] | ['hashes', 'lockfile', 'packaging', 'pip', 'pip-compile', 'pip-tools', 'requirements', 'setuptools'] | 2024-01-05 | [('pdm-project/pdm', 0.6316167116165161, 'util', 1), ('thoth-station/micropipenv', 0.6279821991920471, 'util', 2), ('python-poetry/poetry', 0.5958384871482849, 'util', 1), ('pypa/hatch', 0.5882735848426819, 'util', 1), ('indygreg/pyoxidizer', 0.5879077315330505, 'util', 1), ('pypi/warehouse', 0.5816731452941895, 'util'... | 203 | 6 | null | 3.46 | 73 | 41 | 138 | 0 | 8 | 11 | 8 | 73 | 204 | 90 | 2.8 | 58 |
1,216 | util | https://github.com/googlecloudplatform/python-docs-samples | [] | null | [] | [] | null | null | null | googlecloudplatform/python-docs-samples | python-docs-samples | 6,777 | 6,352 | 388 | Jupyter Notebook | null | Code samples used on cloud.google.com | googlecloudplatform | 2024-01-13 | 2015-05-04 | 456 | 14.857188 | https://avatars.githubusercontent.com/u/2810941?v=4 | Code samples used on cloud.google.com | ['samples'] | ['samples'] | 2024-01-12 | [('googlecloudplatform/vertex-ai-samples', 0.5574522018432617, 'ml', 1)] | 591 | 4 | null | 32.98 | 467 | 365 | 106 | 0 | 0 | 0 | 0 | 466 | 602 | 90 | 1.3 | 58 |
1,345 | llm | https://github.com/bhaskatripathi/pdfgpt | [] | null | [] | [] | null | null | null | bhaskatripathi/pdfgpt | pdfGPT | 6,422 | 805 | 48 | Python | https://bhaskartripathi-pdfgpt-turbo.hf.space | PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot! | bhaskatripathi | 2024-01-13 | 2023-03-07 | 47 | 136.638298 | null | PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot! | ['chatpdf', 'chatwithpdf', 'pdfgpt'] | ['chatpdf', 'chatwithpdf', 'pdfgpt'] | 2023-09-04 | [('mayooear/gpt4-pdf-chatbot-langchain', 0.6926714777946472, 'llm', 0), ('h2oai/h2ogpt', 0.5438480377197266, 'llm', 0), ('minimaxir/simpleaichat', 0.5324260592460632, 'llm', 0), ('run-llama/rags', 0.5228466987609863, 'llm', 0), ('jorisschellekens/borb', 0.5003618597984314, 'util', 0)] | 11 | 4 | null | 2.06 | 11 | 6 | 10 | 4 | 0 | 0 | 0 | 11 | 14 | 90 | 1.3 | 58 |
545 | ml | https://github.com/open-mmlab/mmediting | [] | null | [] | [] | null | null | null | open-mmlab/mmediting | mmagic | 6,233 | 1,032 | 98 | Jupyter Notebook | https://mmagic.readthedocs.io/en/latest/ | OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc. | open-mmlab | 2024-01-14 | 2019-08-23 | 231 | 26.916101 | https://avatars.githubusercontent.com/u/10245193?v=4 | OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc. | ['aigc', 'computer-vision', 'deep-learning', 'diffusion', 'diffusion-models', 'generative-adversarial-network', 'generative-ai', 'image-editing', 'image-generation', 'image-processing', 'image-synthesis', 'inpainting', 'matting', 'pytorch', 'super-resolution', 'text2image', 'video-frame-interpolation', 'video-interpola... | ['aigc', 'computer-vision', 'deep-learning', 'diffusion', 'diffusion-models', 'generative-adversarial-network', 'generative-ai', 'image-editing', 'image-generation', 'image-processing', 'image-synthesis', 'inpainting', 'matting', 'pytorch', 'super-resolution', 'text2image', 'video-frame-interpolation', 'video-interpola... | 2024-01-10 | [('roboflow/supervision', 0.6228029727935791, 'ml', 4), ('albumentations-team/albumentations', 0.5985205769538879, 'ml-dl', 2), ('invoke-ai/invokeai', 0.5879208445549011, 'diffusion', 2), ('lucidrains/imagen-pytorch', 0.5784053206443787, 'ml-dl', 1), ('automatic1111/stable-diffusion-webui', 0.5722965002059937, 'diffusi... | 126 | 4 | null | 5.38 | 71 | 44 | 54 | 0 | 8 | 6 | 8 | 71 | 57 | 90 | 0.8 | 58 |
1,295 | ml-ops | https://github.com/bentoml/bentoml | [] | null | [] | [] | null | null | null | bentoml/bentoml | BentoML | 6,093 | 692 | 72 | Python | https://bentoml.com | Build Production-Grade AI Applications | bentoml | 2024-01-13 | 2019-04-02 | 252 | 24.178571 | https://avatars.githubusercontent.com/u/49176046?v=4 | Build Production-Grade AI Applications | ['ai', 'ai-infra', 'bentoml', 'deep-learning', 'generative-ai', 'inference-api', 'kubernetes', 'llmops', 'lmops', 'machine-learning', 'microservices', 'ml-platform', 'mlops', 'model-deployment', 'model-inference', 'model-management', 'model-serving', 'multimodal-deep-learning'] | ['ai', 'ai-infra', 'bentoml', 'deep-learning', 'generative-ai', 'inference-api', 'kubernetes', 'llmops', 'lmops', 'machine-learning', 'microservices', 'ml-platform', 'mlops', 'model-deployment', 'model-inference', 'model-management', 'model-serving', 'multimodal-deep-learning'] | 2024-01-11 | [('hpcaitech/colossalai', 0.719754159450531, 'llm', 2), ('polyaxon/polyaxon', 0.70576012134552, 'ml-ops', 4), ('jina-ai/jina', 0.692993700504303, 'ml', 6), ('netflix/metaflow', 0.6758896708488464, 'ml-ops', 6), ('lastmile-ai/aiconfig', 0.6600256562232971, 'util', 2), ('alirezadir/machine-learning-interview-enlightener'... | 192 | 2 | null | 9.81 | 185 | 134 | 58 | 0 | 21 | 24 | 21 | 185 | 153 | 90 | 0.8 | 58 |
626 | util | https://github.com/pyca/cryptography | [] | null | [] | [] | null | null | null | pyca/cryptography | cryptography | 6,009 | 1,735 | 125 | Python | https://cryptography.io | cryptography is a package designed to expose cryptographic primitives and recipes to Python developers. | pyca | 2024-01-14 | 2013-08-07 | 546 | 10.988245 | https://avatars.githubusercontent.com/u/5615737?v=4 | cryptography is a package designed to expose cryptographic primitives and recipes to Python developers. | ['cryptography'] | ['cryptography'] | 2024-01-14 | [('legrandin/pycryptodome', 0.8198734521865845, 'util', 1), ('pyca/pynacl', 0.659361720085144, 'util', 1), ('1200wd/bitcoinlib', 0.6551878452301025, 'crypto', 0), ('primal100/pybitcointools', 0.6024011373519897, 'crypto', 0), ('pypy/pypy', 0.5772532224655151, 'util', 0), ('man-c/pycoingecko', 0.5643881559371948, 'crypt... | 303 | 4 | null | 32.37 | 542 | 518 | 127 | 0 | 0 | 12 | 12 | 542 | 303 | 90 | 0.6 | 58 |
1,534 | ml-interpretability | https://github.com/interpretml/interpret | ['interpretability'] | null | [] | [] | null | null | null | interpretml/interpret | interpret | 5,868 | 704 | 141 | C++ | https://interpret.ml/docs | Fit interpretable models. Explain blackbox machine learning. | interpretml | 2024-01-13 | 2019-05-03 | 247 | 23.70225 | https://avatars.githubusercontent.com/u/27173223?v=4 | Fit interpretable models. Explain blackbox machine learning. | ['ai', 'artificial-intelligence', 'bias', 'blackbox', 'differential-privacy', 'explainability', 'explainable-ai', 'explainable-ml', 'gradient-boosting', 'iml', 'interpretability', 'interpretable-ai', 'interpretable-machine-learning', 'interpretable-ml', 'interpretml', 'machine-learning', 'scikit-learn', 'transparency',... | ['ai', 'artificial-intelligence', 'bias', 'blackbox', 'differential-privacy', 'explainability', 'explainable-ai', 'explainable-ml', 'gradient-boosting', 'iml', 'interpretability', 'interpretable-ai', 'interpretable-machine-learning', 'interpretable-ml', 'interpretml', 'machine-learning', 'scikit-learn', 'transparency',... | 2024-01-14 | [('csinva/imodels', 0.7508851289749146, 'ml', 7), ('oegedijk/explainerdashboard', 0.6743864417076111, 'ml-interpretability', 1), ('xplainable/xplainable', 0.6733729839324951, 'ml-interpretability', 4), ('seldonio/alibi', 0.6674531102180481, 'ml-interpretability', 3), ('maif/shapash', 0.6510236859321594, 'ml', 5), ('mar... | 40 | 3 | null | 14.46 | 30 | 11 | 57 | 0 | 8 | 9 | 8 | 30 | 67 | 90 | 2.2 | 58 |
403 | perf | https://github.com/python-trio/trio | [] | null | [] | [] | null | null | null | python-trio/trio | trio | 5,713 | 316 | 85 | Python | https://trio.readthedocs.io | Trio – a friendly Python library for async concurrency and I/O | python-trio | 2024-01-13 | 2017-01-16 | 367 | 15.5607 | https://avatars.githubusercontent.com/u/26335827?v=4 | Trio – a friendly Python library for async concurrency and I/O | ['async', 'async-await', 'io', 'networking', 'structured-concurrency', 'trio'] | ['async', 'async-await', 'io', 'networking', 'structured-concurrency', 'trio'] | 2024-01-10 | [('agronholm/anyio', 0.8090512156486511, 'perf', 2), ('magicstack/uvloop', 0.6619237065315247, 'util', 3), ('alirn76/panther', 0.6534282565116882, 'web', 0), ('samuelcolvin/arq', 0.6487094759941101, 'data', 1), ('pallets/quart', 0.6473005414009094, 'web', 0), ('eventlet/eventlet', 0.6357116103172302, 'perf', 0), ('aio-... | 154 | 3 | null | 7.71 | 153 | 107 | 85 | 0 | 5 | 4 | 5 | 153 | 482 | 90 | 3.2 | 58 |
944 | security | https://github.com/stamparm/maltrail | [] | null | [] | [] | null | null | null | stamparm/maltrail | maltrail | 5,548 | 1,017 | 229 | Python | null | Malicious traffic detection system | stamparm | 2024-01-14 | 2014-12-04 | 477 | 11.613636 | null | Malicious traffic detection system | ['attack-detection', 'intrusion-detection', 'malware', 'network-monitoring', 'security', 'sensor'] | ['attack-detection', 'intrusion-detection', 'malware', 'network-monitoring', 'security', 'sensor'] | 2024-01-13 | [] | 47 | 4 | null | 305.44 | 35 | 30 | 111 | 0 | 12 | 6 | 12 | 35 | 48 | 90 | 1.4 | 58 |
547 | ml | https://github.com/open-mmlab/mmcv | ['computer-vision'] | null | [] | [] | null | null | null | open-mmlab/mmcv | mmcv | 5,409 | 1,575 | 86 | Python | https://mmcv.readthedocs.io/en/latest/ | OpenMMLab Computer Vision Foundation | open-mmlab | 2024-01-14 | 2018-08-22 | 283 | 19.05536 | https://avatars.githubusercontent.com/u/10245193?v=4 | OpenMMLab Computer Vision Foundation | [] | ['computer-vision'] | 2024-01-07 | [('open-mmlab/mmdetection', 0.6718772649765015, 'ml', 0), ('open-mmlab/mmsegmentation', 0.6504673361778259, 'ml', 0), ('deci-ai/super-gradients', 0.5693687796592712, 'ml-dl', 1), ('luispedro/mahotas', 0.5330637693405151, 'viz', 1), ('roboflow/supervision', 0.524324893951416, 'ml', 1)] | 260 | 7 | null | 1.87 | 91 | 52 | 66 | 0 | 5 | 20 | 5 | 91 | 146 | 90 | 1.6 | 58 |
1,666 | ml-ops | https://github.com/kestra-io/kestra | [] | null | [] | [] | 1 | null | null | kestra-io/kestra | kestra | 5,200 | 285 | 54 | Java | https://kestra.io | Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code. | kestra-io | 2024-01-14 | 2019-08-24 | 231 | 22.469136 | https://avatars.githubusercontent.com/u/59033362?v=4 | Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code. | ['data', 'data-engineering', 'data-integration', 'data-orchestration', 'data-orchestrator', 'data-pipeline', 'data-quality', 'elt', 'etl', 'low-code', 'orchestration', 'pipeline', 'reverse-etl', 'scheduler', 'workflow', 'workflow-engine'] | ['data', 'data-engineering', 'data-integration', 'data-orchestration', 'data-orchestrator', 'data-pipeline', 'data-quality', 'elt', 'etl', 'low-code', 'orchestration', 'pipeline', 'reverse-etl', 'scheduler', 'workflow', 'workflow-engine'] | 2024-01-12 | [('flyteorg/flyte', 0.7973306775093079, 'ml-ops', 2), ('dagster-io/dagster', 0.7322535514831543, 'ml-ops', 7), ('mage-ai/mage-ai', 0.6831650137901306, 'ml-ops', 8), ('prefecthq/server', 0.6529881954193115, 'util', 3), ('apache/airflow', 0.6468701362609863, 'ml-ops', 9), ('prefecthq/prefect', 0.6422749757766724, 'ml-ops... | 41 | 2 | null | 20.23 | 915 | 469 | 53 | 0 | 37 | 23 | 37 | 915 | 611 | 90 | 0.7 | 58 |
67 | util | https://github.com/pycqa/pylint | ['code-quality'] | null | [] | ['pylint'] | null | null | null | pycqa/pylint | pylint | 4,989 | 1,067 | 77 | Python | https://pylint.readthedocs.io/en/latest/ | It's not just a linter that annoys you! | pycqa | 2024-01-13 | 2015-12-09 | 424 | 11.742771 | https://avatars.githubusercontent.com/u/121692054?v=4 | It's not just a linter that annoys you! | ['code-quality', 'linter', 'pep8', 'static-analysis', 'static-code-analysis'] | ['code-quality', 'linter', 'pep8', 'static-analysis', 'static-code-analysis'] | 2024-01-10 | [('astral-sh/ruff', 0.569158136844635, 'util', 5), ('google/pytype', 0.5689358115196228, 'typing', 4), ('klen/pylama', 0.5042141675949097, 'util', 1), ('python/mypy', 0.5039985179901123, 'typing', 2)] | 553 | 3 | null | 15.12 | 288 | 145 | 99 | 0 | 21 | 23 | 21 | 288 | 524 | 90 | 1.8 | 58 |
815 | ml | https://github.com/project-monai/monai | [] | null | [] | [] | null | null | null | project-monai/monai | MONAI | 4,983 | 920 | 93 | Python | https://monai.io/ | AI Toolkit for Healthcare Imaging | project-monai | 2024-01-14 | 2019-10-11 | 224 | 22.188931 | https://avatars.githubusercontent.com/u/56449156?v=4 | AI Toolkit for Healthcare Imaging | ['deep-learning', 'healthcare-imaging', 'medical-image-computing', 'medical-image-processing', 'monai', 'pytorch'] | ['deep-learning', 'healthcare-imaging', 'medical-image-computing', 'medical-image-processing', 'monai', 'pytorch'] | 2024-01-12 | [('fepegar/torchio', 0.8480987548828125, 'ml-dl', 4), ('albumentations-team/albumentations', 0.5541568994522095, 'ml-dl', 1), ('tensorflow/tensorflow', 0.539412260055542, 'ml-dl', 1), ('microsoft/onnxruntime', 0.5315036773681641, 'ml', 2), ('lucidrains/medical-chatgpt', 0.5313103795051575, 'llm', 1), ('keras-team/keras... | 176 | 3 | null | 8.88 | 358 | 233 | 52 | 0 | 2 | 20 | 2 | 358 | 519 | 90 | 1.4 | 58 |
750 | util | https://github.com/pypa/hatch | ['package-manager', 'packaging'] | null | [] | [] | null | null | null | pypa/hatch | hatch | 4,939 | 281 | 49 | Python | https://hatch.pypa.io/latest/ | Modern, extensible Python project management | pypa | 2024-01-14 | 2017-05-31 | 347 | 14.198357 | https://avatars.githubusercontent.com/u/647025?v=4 | Modern, extensible Python project management | ['build', 'cli', 'packaging', 'plugin', 'versioning', 'virtualenv'] | ['build', 'cli', 'package-manager', 'packaging', 'plugin', 'versioning', 'virtualenv'] | 2024-01-13 | [('python-poetry/poetry', 0.7199224233627319, 'util', 2), ('pypa/pipenv', 0.7155768275260925, 'util', 2), ('mitsuhiko/rye', 0.7138620615005493, 'util', 2), ('indygreg/pyoxidizer', 0.7048346400260925, 'util', 2), ('pomponchik/instld', 0.6995571255683899, 'util', 1), ('pdm-project/pdm', 0.6953819394111633, 'util', 2), ('... | 54 | 6 | null | 3.71 | 238 | 173 | 81 | 0 | 18 | 16 | 18 | 238 | 511 | 90 | 2.1 | 58 |
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