The Scikit HEP Project -- overview and prospects

TL;DR

The Scikit-HEP project provides a comprehensive Python ecosystem for particle physics data analysis, fostering community collaboration and expanding tools to meet the needs of physicists and related fields.

Contribution

It introduces a modular, community-driven collection of Python packages tailored for particle physics data analysis, enhancing accessibility and interoperability.

Findings

Growing user and developer community

Successful distribution via PyPI and conda-forge

Adoption by astroparticle physics community

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.