The Scikit HEP Project -- overview and prospects
Abstract
Scikit-HEP is a community-driven and community-oriented project with the goal of providing an ecosystem for particle physics data analysis in Python. Scikit-HEP is a toolset of approximately twenty packages and a few "affiliated" packages. It expands the typical Python data analysis tools for particle physicists. Each package focuses on a particular topic, and interacts with other packages in the toolset, where appropriate. Most of the packages are easy to install in many environments; much work has been done this year to provide binary "wheels" on PyPI and conda-forge packages. The Scikit-HEP project has been gaining interest and momentum, by building a user and developer community engaging collaboration across experiments. Some of the packages are being used by other communities, including the astroparticle physics community. An overview of the overall project and toolset will be presented, as well as a vision for development and sustainability.
Cite
@article{arxiv.2007.03577,
title = {The Scikit HEP Project -- overview and prospects},
author = {Eduardo Rodrigues and Benjamin Krikler and Chris Burr and Dmitri Smirnov and Hans Dembinski and Henry Schreiner and Jaydeep Nandi and Jim Pivarski and Matthew Feickert and Matthieu Marinangeli and Nick Smith and Pratyush Das},
journal= {arXiv preprint arXiv:2007.03577},
year = {2021}
}
Comments
6 pages, 3 figures, Proceedings of the 24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019), Adelaide, Australia, 4-8 November 2019