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The SunPy Project: An Interoperable Ecosystem for Solar Data AnalysisThe SunPy Project is a community of scientists and software developers creating an ecosystem of Python packages for solar physics. The project includes the sunpy core package as well as a set of affiliated packages. The sunpy core package provides general purpose tools to access data from different providers, read image and time series data, and transform between commonly used coordinate systems. Affiliated packages perform more specialized tasks that do not fall within the more general scope of the sunpy core package. In this article, we give a high-level overview of the SunPy Project, how it is broader than the sunpy core package, and how the project curates and fosters the affiliated package system. We demonstrate how components of the SunPy ecosystem, including sunpy and several affiliated packages, work together to enable multi-instrument data analysis workflows. We also describe members of the SunPy Project and how the project interacts with the wider solar physics and scientific Python communities. Finally, we discuss the future direction and priorities of the SunPy Project.
Document ID
20230015160
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Will T Barnes ORCID
(American University Washington, DC)
Steven Christie
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Nabil Freij ORCID
(Lockheed Martin (United States) Bethesda, Maryland, United States)
Laura A Hayes ORCID
(European Space Research and Technology Centre Noordwijk-Binnen, Netherlands)
David Stansby ORCID
(University College London London, United Kingdom)
Jack Ireland
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Stuart J Mumford ORCID
(Aperio Software Stansted, Essex, United Kingdom)
Daniel F Ryan
(University of Applied Sciences and Arts Northwestern Switzerland Windisch, Switzerland)
Albert Y Shih ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Date Acquired
October 19, 2023
Publication Date
February 23, 2023
Publication Information
Publication: Frontiers in Astronomy and Space Sciences
Publisher: Frontiers Media
Volume: 10
e-ISSN: 2296-987X
Subject Category
Solar Physics
Computer Programming and Software
Funding Number(s)
CONTRACT_GRANT: 80NSSC19K1000
CONTRACT_GRANT: NNG09FA40C
CONTRACT_GRANT: NNG04EA00C
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
Single Expert
Keywords
Solar physics
SunPy
Heliophysics
Python (programming language)
Data analysis methods
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