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Furax

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Furax: a Framework for Unified and Robust data Analysis with JAX.

This framework provides building blocks for solving inverse problems, in particular in the astrophysical and cosmological domains.

Requirements

  • Python 3.12 or higher
  • JAX — install separately for your target hardware (CPU, CUDA, Metal, …)

Installation

Furax is available as furax on PyPI, and can be installed with:

uv add furax       # uv, recommended
pip install furax  # pip, alternative

Developing Furax

We strongly recommend using uv to work on Furax.

uv sync                  # automatic editable install with `dev` dependency group
uv sync --extra <extra>  # same with additional, optional dependencies

We use pytest for testing. You can run the tests with:

uv run pytest

To ensure that your code passes the quality checks, you can use our pre-commit configuration. We recommend using prek to run the pre-commit hooks.

uvx prek install  # install pre-commit hooks; every commit will trigger them
uvx prek run      # run hooks on demand (staged files)
uvx prek run -a   # run hooks (all files)

Citing Furax

If you use Furax in your work, please cite the paper:

Chanial et al., Furax: A Modular JAX Framework for Linear Operators in Astrophysical and Cosmological Data Analysis, arXiv:2603.19600 (2026).

Citation metadata is also available in CITATION.cff.

Metadata

Release files for furax 0.15.4

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Source distribution for furax 0.15.4
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Table of built distributions (wheels) for furax 0.15.4
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Total release size: 12.9 MB

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Release history Release notifications | RSS feed

This release

0.15.4 This release

2 release files

0.15.1

2 release files

0.15.0

2 release files

0.14.0

2 release files

0.13.0

2 release files

0.12.0

2 release files

0.11.3

2 release files

0.11.2

2 release files

0.10.4

2 release files

0.10.2

2 release files

0.9

2 release files

0.8

2 release files

0.7

2 release files

0.0.1

1 release file

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