xrsdkit: data-driven data analysis for scattering and diffraction

Description

This is a data-driven modeling framework for x-ray scattering and diffraction patterns, including tools to analyze (fit) patterns, curate datasets of analysis results, and train machine learning models to speed up or automate further analysis.

Examples

For usage examples, check out the tutorials in the package documentation <https://xrsdkit.readthedocs.io/en/latest/>, or browse the notebooks in the xrsdkit_modeling repository <https://github.com/slaclab/xrsdkit_modeling>.

Installation

This package is hosted on PyPI. Install it by pip install xrsdkit

Contribution

To contribute code, submit a pull request to this repository. To contribute a dataset, submit a pull request to the xrsdkit_modeling repository <https://github.com/slaclab/xrsdkit_modeling>_.

License

See the 3-clause BSD-like license in the LICENSE file.