kiwiPy: Robust, high-volume, messaging for big-data and computational science workflows

kiwiPy: Robust, high-volume, messaging for big-data and computational science workflows - Published in JOSS (2020)

https://github.com/aiidateam/kiwipy.git

Science Score: 87.0%

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JOSS Publication

kiwiPy: Robust, high-volume, messaging for big-data and computational science workflows
Published
August 03, 2020
Volume 5, Issue 52, Page 2351
Authors
Martin Uhrin ORCID
Department of Energy Conversion and Storage, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark, National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland, Theory and Simulation of Materials (THEOS), Faculté des Sciences et Techniques de l’Ingénieur, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland
Sebastiaan P. Huber
National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland, Theory and Simulation of Materials (THEOS), Faculté des Sciences et Techniques de l’Ingénieur, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland
Editor
Daniel S. Katz ORCID
Tags
python high-throughput computing message broker scientific workflows fault-tolerant computing