Published 2020 | Version v1
Journal article

The Scikit HEP Project overview and prospects

  • 1. University of Liverpool (United Kingdom)
  • 2. University of Bristol (United Kingdom)
  • 3. CERN (Switzerland)
  • 4. BNL (United States)
  • 5. Technical University Dortmund (Germany)

Description

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.

Availability note (English)

Available from https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_06028.pdf; https://doaj.org/article/82a015d79b554243ad2ec893c4887d66

Additional details

Publishing Information

Journal Title
EPJ. Web of Conferences
Journal Volume
245
Journal Page Range
vp.
ISSN
2100-014X

Conference

Title
24. International Conference on Computing in High Energy and Nuclear Physics
Acronym
CHEP 2019
Dates
4-8 Nov 2019
Place
Adelaide (Australia)

INIS

Country of Publication
France
Country of Input or Organization
France
INIS RN
53090219
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTER CODES; COMPUTERIZED SIMULATION; DATA ANALYSIS; PYTHON; SUSTAINABILITY
Descriptors DEC
DATA PROCESSING; PROCESSING; PROGRAMMING LANGUAGES; SIMULATION