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A modern astrodynamics library powered by JAX: differentiate, vectorize, JIT to GPU/TPU, and more

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Welcome to AstroDynX! 🚀

AstroDynX is a modern astrodynamics library powered by JAX, designed for high-performance scientific computing, automatic differentiation, and GPU/TPU acceleration.

Features

  • JAX support: automatic differentiation, vectorization, JIT compilation
  • Modern Python code style and type checking
  • Continuous integration and automated testing
  • Easy to extend and contribute

Warning

This project is still experimental, APIs could change between releases without notice.

Installation

You can install AstroDynX from PyPI using pip:

pip install astrodynx

Note

AstroDynX is written in pure Python build with JAX, so it is compatible with any platform that supports JAX, including CPU, GPU, and TPU. By default, it installs the CPU version. If you want to use AstroDynX on GPU/TPU, follow the instructions to install the appropriate JAX backend for your hardware.

Documentation

The documentation is available at Read the Docs

Contributing

We welcome contributions from the community! Please see our comprehensive contribution guides:

Whether you're fixing bugs, adding features, improving documentation, or helping with testing, your contributions are valued!

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A modern astrodynamics library powered by JAX: differentiate, vectorize, JIT to GPU/TPU, and more

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