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 →
New users can start with our user pages. See our developer pages for information on developing Python packages.
News • Tutorial • Resources • Cite us • Get in touch
Basics:
Manipulate JSON-like data with NumPy-like idioms.
Units and constants in the HEP system of units.
Manipulate Lorentz, 3D, and 2D vectors in NumPy, Numba, or Awkward.
Data manipulation and interoperability:
Easy conversions between different styles of expressions.
ROOT I/O in pure Python and NumPy.
Terminal browser and tools for ROOT files
Histogramming:
Python bindings for the C++14 Boost::Histogram library.
Hist is a analyst friendly front-end for boost-histogram, designed for Python 3.6+.
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:
Describe and convert particle decays between digital representations.
PDG particle data and identification codes.
Fitting:
GPU/OpenMP fitting in Python and C++.
Jupyter-friendly Python interface for the Minuit2 C++ library.
Scalable Pythonic fitting
Statistics:
Design and steer profile likelihood fits.
Statistics tools and utilities.
pure-Python implementation of HistFactory models.
Interface to HEP libraries:
Official FastJet bindings to Python and Awkward Array.
Next generation Python bindings for HepMC3.
Lightweight Python interface to read Les Houches Event (LHE) files.
Machine Learning:
Collection of tools and algorithms to enable conversion of HEP ML to mass usage model.
Visualization:
Plotting and styling helpers for matplotlib.
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.
CERN’s ROOT on Conda-Forge.
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.