This release is a pre-release and may not be stable for production use.
A framework for elegantly configuring complex applications.
Check the website for more information.
Releases
Development
Hydra 1.4 is the current development version of Hydra.
- Hydra 1.4 is coming soon. Until the stable release is available, you can install Hydra from development releases on PyPI.
- Documentation
- Installation:
pip install --pre --upgrade hydra-core - Supported Python versions: 3.10 through 3.14.
Stable
Hydra 1.3 is the stable version of Hydra.
- Documentation
- Installation :
pip install hydra-core --upgrade
See the NEWS.md file for a summary of recent changes to Hydra.
License
Hydra is licensed under MIT License.
Hydra Ecosystem
Check out these third-party libraries that build on Hydra's functionality:
- 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.
- lightning-hydra-template: user-friendly template combining Hydra with Pytorch-Lightning for ML experimentation.
- hydra-torch: configen-generated configuration classes enabling type-safe PyTorch configuration for Hydra apps.
- NVIDIA's DeepLearningExamples repository contains a Hydra Launcher plugin, the distributed_launcher, which makes use of the pytorch distributed.launch API.
Ask questions in Github Discussions or StackOverflow (Use the tag #fb-hydra or #omegaconf):
Check out the Meta AI blog post to learn about how Hydra fits into Meta's efforts to reengineer deep learning platforms for interoperability.
Citing Hydra
If you use Hydra in your research please use the following BibTeX entry:
@Misc{Yadan2019Hydra,
author = {Omry Yadan},
title = {Hydra - A framework for elegantly configuring complex applications},
howpublished = {Github},
year = {2019},
url = {https://github.com/facebookresearch/hydra}
}
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