Packages
You can see our affiliated projects, get links to documentation, see the guidelines for a new Scikit-HEP package to follow, and see our statement on Python version support here too.
Basics:
Data manipulation and interoperability:
Histogramming:
Particles and decays:
Fitting:
Statistics:
Interface to HEP libraries:
Machine Learning:
Collection of tools and algorithms to enable conversion of HEP ML to mass usage model.
Visualization:
Miscellaneous:
A utility for building all PyPI supported binary wheels on all CI systems. See our guide for instructions.
π€ Affiliated
A utility for building a new Python package with multiple backends based on the Scientific Python Development Guide, including sp-repo-review checks.
Testing:
A suite of GitHub workflows that run nightly to test the HEAD versions of various Scikit-HEP packages.