The pysat ecosystem
The Python Satellite Data Analysis Toolkit (pysat) is an open source package that implements a general data analysis workflow for arbitrary data sets, providing a consistent manner for obtaining, managing, analysing, and processing data, including modelled and observational ground and space-based da...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-04-01
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| Series: | Frontiers in Astronomy and Space Sciences |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fspas.2023.1119775/full |
| _version_ | 1797838675332038656 |
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| author | R. A. Stoneback A. G. Burrell J. Klenzing J. Smith J. Smith |
| author_facet | R. A. Stoneback A. G. Burrell J. Klenzing J. Smith J. Smith |
| author_sort | R. A. Stoneback |
| collection | DOAJ |
| description | The Python Satellite Data Analysis Toolkit (pysat) is an open source package that implements a general data analysis workflow for arbitrary data sets, providing a consistent manner for obtaining, managing, analysing, and processing data, including modelled and observational ground and space-based data sets for the space sciences. Pysat enables systematic and individual treatment of data as well as simplifies rigorous data access and use, allowing larger-scale scientific efforts including machine learning, data assimilation, and constellation instrumentation processing. Since the start of its development pysat has evolved into an ecosystem, separating general file and data handling functionality from both individual data set support and generalized data analysis. This design choice ensures that the core pysat package has only the necessary functionality required to provide data management services for the wider development community. The shift of data and analysis support to ecosystem packages makes it easier for the community to contribute to, as well as use, the full array of features and data sources enabled by pysat. Pysat’s ease of use, and generality, supports adoption outside of professional science to include industry, citizen science, and education. |
| first_indexed | 2024-04-09T15:44:42Z |
| format | Article |
| id | doaj.art-e194adbcdee540359673dc8f3ac978bd |
| institution | Directory Open Access Journal |
| issn | 2296-987X |
| language | English |
| last_indexed | 2024-04-09T15:44:42Z |
| publishDate | 2023-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Astronomy and Space Sciences |
| spelling | doaj.art-e194adbcdee540359673dc8f3ac978bd2023-04-27T04:58:00ZengFrontiers Media S.A.Frontiers in Astronomy and Space Sciences2296-987X2023-04-011010.3389/fspas.2023.11197751119775The pysat ecosystemR. A. Stoneback0A. G. Burrell1J. Klenzing2J. Smith3J. Smith4Stoneris, Plano, TX, United StatesNaval Research Laboratory, Space Science Division, Washington, DC, United StatesNASA Goddard Space Flight Center, ITM Physics Laboratory Greenbelt, Greenbelt, MD, United StatesNASA Goddard Space Flight Center, ITM Physics Laboratory Greenbelt, Greenbelt, MD, United StatesCatholic University of America, Washington, DC, United StatesThe Python Satellite Data Analysis Toolkit (pysat) is an open source package that implements a general data analysis workflow for arbitrary data sets, providing a consistent manner for obtaining, managing, analysing, and processing data, including modelled and observational ground and space-based data sets for the space sciences. Pysat enables systematic and individual treatment of data as well as simplifies rigorous data access and use, allowing larger-scale scientific efforts including machine learning, data assimilation, and constellation instrumentation processing. Since the start of its development pysat has evolved into an ecosystem, separating general file and data handling functionality from both individual data set support and generalized data analysis. This design choice ensures that the core pysat package has only the necessary functionality required to provide data management services for the wider development community. The shift of data and analysis support to ecosystem packages makes it easier for the community to contribute to, as well as use, the full array of features and data sources enabled by pysat. Pysat’s ease of use, and generality, supports adoption outside of professional science to include industry, citizen science, and education.https://www.frontiersin.org/articles/10.3389/fspas.2023.1119775/fullpysatdata analysisdata managementspace-based dataground-based dataheliophysics |
| spellingShingle | R. A. Stoneback A. G. Burrell J. Klenzing J. Smith J. Smith The pysat ecosystem Frontiers in Astronomy and Space Sciences pysat data analysis data management space-based data ground-based data heliophysics |
| title | The pysat ecosystem |
| title_full | The pysat ecosystem |
| title_fullStr | The pysat ecosystem |
| title_full_unstemmed | The pysat ecosystem |
| title_short | The pysat ecosystem |
| title_sort | pysat ecosystem |
| topic | pysat data analysis data management space-based data ground-based data heliophysics |
| url | https://www.frontiersin.org/articles/10.3389/fspas.2023.1119775/full |
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