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:
Manipulate JSON-like data with NumPy-like idioms.
Units and constants in the HEP system of units.
Manipulate ragged arrays as NumPy or CuPy arrays.
Manipulate Lorentz, 3D, and 2D vectors in NumPy, Numba, or Awkward.
Data manipulation and interoperability:
Easy conversions between different styles of expressions.
Bridge between columnar file formats such as ROOT and Parquet.
Interface between ROOT and NumPy.
Module for conveniently loading/saving ROOT files as pandas DataFrames.
ROOT I/O in pure Python and NumPy.
Terminal browser and tools for ROOT files
Pythonic behaviours for non-I/O related ROOT classes.
Histogramming:
Convert between histogram representations
Python bindings for the C++14 Boost::Histogram library.
Hist is a analyst friendly front-end for boost-histogram, designed for Python 3.6+.
Versatile, high-performance histogram toolkit for NumPy.
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.
Cost function builder. For fitting distributions.
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.
Interface between Pythia and NumPy.
Next generation Python bindings for HepMC3.
Interface between FastJet and NumPy.
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.
