The Scikit HEP Project overview and prospects

• Main Authors: Rodrigues Eduardo, Krikler Benjamin, Burr Chris, Smirnov Dmitri, Dembinski Hans, Schreiner Henry, Nandi Jaydeep, Pivarski Jim, Feickert Matthew, Marinangeli Matthieu, Smith Nick, Das Pratyush
• Format: Article
• Language: English
• Published: EDP Sciences 2020-01-01
• Series: EPJ Web of Conferences
• Online Access: https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_06028.pdf

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.