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The Scikit HEP Project overview and prospects

E. Rodrigues, B. Krikler, C. Burr, D. Smirnov, H.-P. Dembinski, Henry Schreiner, Jaydeep Nandi, J. Pivarski, M. Feickert, M. Marinangeli, Nick W. Smith, Pratyush Kumar Das

2020EPJ Web of Conferences43 citationsDOIOpen Access PDF

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.

Topics & Concepts

Python (programming language)National laboratoryComputer scienceSystems engineeringSoftware engineeringEngineeringOperating systemEngineering physicsComputational Physics and Python ApplicationsParticle physics theoretical and experimental studiesParticle Detector Development and Performance
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