Scikit-HEP project - welcome!
The Scikit-HEP project is a community-driven and community-oriented project with the aim of providing Particle Physics at large with an ecosystem for data analysis in Python. Read more β
New users can start with our user pages. See our developer pages for information on developing Python packages.
News β’ Tutorial β’ Resources β’ Cite us β’ Get in touch
Basics:
Units and constants in the HEP system of units.
Manipulate ragged arrays as NumPy or CuPy arrays.
Data manipulation and interoperability:
Basic tools and wrappers for enabling not-too-alien syntax when running columnar Collider HEP analysis.
Easy conversions between different styles of expressions.
Bridge between columnar file formats such as ROOT and Parquet.
Histogramming:
Histoprint nicely displays histograms in the terminal.
Unified Histogram Interface, providing static tools and documentation for the common behavior and interaction between histogram libraries.
Particles and decays:
Fitting:
Statistics:
Interface to HEP libraries:
Next generation Python bindings for HepMC3.
Machine Learning:
Collection of tools and algorithms to enable conversion of HEP ML to mass usage model.
Visualization:
View Vega/Vega-Lite plots in your web browser from local or remote Python processes.
Miscellaneous:
A utility for building all PyPI supported binary wheels on all CI systems. See our guide for instructions.
A utility for building a new Python package with multiple backends based on the Scientific Python Development Guide, including sp-repo-review checks.
A C++11 API for CPython and PyPy. Can create extension modules written purely in C++ or in C++ and Python; no new language, separate generation step or tooling required (header only templated C++).
A Python 3.10+ framework for running configuration check plugins.
Metapackage for the Scikit-HEP project providing various of its tools and interfaces.
Common package to provide example files (e.g., ROOT) for testing and developing packages against.
In some cases, the packages provide a bridge between different technologies and/or popular packages from the Python scientific software stack. If you are looking for a deprecated package, see the full package list.