Scikit-package – software packaging standards and roadmap for sharing reproducible scientific software

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Authors: Seunghyung Lee, Cory S. Myers, A. Y. Yang, Ting Zhang, Yuchen. Xiao, Simon J. L. Billinge
Cited by: 0

Abstract

SCIKIT-PACKAGE helps scientists transform research code into reusable, reproducible, and maintainable software through automated workflows, project templates, and tutorials.

Fields of Study & Subjects

Scientific Computing and Data Management Research Data Management Practices

Publication details

Journal / source
Digital Discovery
Volume
5
Issue
8
Pages
3158–3177
Publication date
1 January 2026
Language
EN