{"author":"Omry Yadan","author_email":"omry@fb.com","bugtrack_url":null,"classifiers":["Development Status :: 4 - Beta","License :: OSI Approved :: MIT License","Operating System :: MacOS","Operating System :: Microsoft :: Windows","Operating System :: POSIX :: Linux","Programming Language :: Python :: 3.10","Programming Language :: Python :: 3.11","Programming Language :: Python :: 3.7","Programming Language :: Python :: 3.8","Programming Language :: Python :: 3.9"],"description":"

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\n \n $\"PyPI\"$ \n \n \n $\"CircleCI\"$ \n \n \n $\"PyPI$ \n \n \n $\"PyPI$ \n \n \n $\"Downloads\"$ \n \n \n $\"Code$ \n \n \n $\"Total$ \n \n \n $\"Language$ \n \n

\n A framework for elegantly configuring complex applications.\n

\n Check the website for more information,
\n or click the thumbnail below for a one-minute video introduction to Hydra.\n

\n \n $\"1$ \n \n

\n\n----------------------\n\n\n### Releases\n\n#### Stable\n\n**Hydra 1.3** is the stable version of Hydra.\n- [Documentation](https://hydra.cc/docs/1.3/intro/)\n- Installation : `pip install hydra-core --upgrade`\n\nSee the [NEWS.md](NEWS.md) file for a summary of recent changes to Hydra.\n\n### License\nHydra is licensed under [MIT License](LICENSE).\n\n## Hydra Ecosystem\n\n#### Check out these third-party libraries that build on Hydra's functionality:\n* [hydra-zen](https://github.com/mit-ll-responsible-ai/hydra-zen): Pythonic utilities for working with Hydra. Dynamic config generation capabilities, enhanced config store features, a Python API for launching Hydra jobs, and more.\n* [lightning-hydra-template](https://github.com/ashleve/lightning-hydra-template): user-friendly template combining Hydra with [Pytorch-Lightning](https://github.com/Lightning-AI/lightning) for ML experimentation.\n* [hydra-torch](https://github.com/pytorch/hydra-torch): [configen](https://github.com/facebookresearch/hydra/tree/main/tools/configen)-generated configuration classes enabling type-safe PyTorch configuration for Hydra apps.\n* NVIDIA's DeepLearningExamples repository contains a Hydra Launcher plugin, the [distributed_launcher](https://github.com/NVIDIA/DeepLearningExamples/tree/9c34e35c218514b8607d7cf381d8a982a01175e9/Tools/PyTorch/TimeSeriesPredictionPlatform/distributed_launcher), which makes use of the pytorch [distributed.launch](https://pytorch.org/docs/stable/distributed.html#launch-utility) API.\n\n#### Ask questions in Github Discussions or StackOverflow (Use the tag #fb-hydra or #omegaconf):\n* [Github Discussions](https://github.com/facebookresearch/hydra/discussions)\n* [StackOverflow](https://stackexchange.com/filters/391828/hydra-questions)\n* [Twitter](https://twitter.com/Hydra_Framework)\n\nCheck out the Meta AI [blog post](https://ai.facebook.com/blog/reengineering-facebook-ais-deep-learning-platforms-for-interoperability/) to learn about how Hydra fits into Meta's efforts to reengineer deep learning platforms for interoperability.\n\n### Citing Hydra\nIf you use Hydra in your research please use the following BibTeX entry:\n```BibTeX\n@Misc{Yadan2019Hydra,\n author = {Omry Yadan},\n title = {Hydra - A framework for elegantly configuring complex applications},\n howpublished = {Github},\n year = {2019},\n url = {https://github.com/facebookresearch/hydra}\n}\n```\n\n","description_content_type":"text/markdown","docs_url":null,"download_url":"","downloads":{"last_day":-1,"last_month":-1,"last_week":-1},"dynamic":null,"home_page":"https://github.com/facebookresearch/hydra","keywords":"command-line configuration yaml tab-completion","license":"MIT","license_expression":null,"license_files":null,"maintainer":"","maintainer_email":"","name":"hydra-core","package_url":"https://pypi.org/project/hydra-core/","platform":null,"project_url":"https://pypi.org/project/hydra-core/","project_urls":{"Homepage":"https://github.com/facebookresearch/hydra"},"provides_extra":null,"release_url":"https://pypi.org/project/hydra-core/1.3.2/","requires_dist":["omegaconf (<2.4,>=2.2)","antlr4-python3-runtime (==4.9.*)","packaging","importlib-resources ; python_version < \"3.9\""],"requires_python":"","summary":"A framework for elegantly configuring complex applications","version":"1.3.2","yanked":false,"yanked_reason":null}

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importlib-resources	false
omegaconf	false
packaging	false

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