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Heliophysics Software Search Interface
HSSI

pysat

v3.2.2
Code Docs Publication DOI
Citation

Software

Reference Publication

Concise Description
Pysat is an easy to use interface to manage all aspects of space science, from beginning to end. This includes downloading, loading, managing, processing, and analyzing satellite and related data.
Description
pysat, the Python Satellite Data Analysis Toolkit, is a Python package and framework for science data management and analysis across disparate space-science data platforms. It provides a consistent Instrument interface for finding, downloading, loading, cleaning, managing, processing, and analyzing time-indexed scientific measurements, with support for pandas and xarray data structures, metadata handling, orbit/day/file iteration, and custom processing functions. The core package supplies reusable I/O, metadata, file-management, orbit, constellation, and coordinate utility APIs, while the broader pysat ecosystem provides plug-ins for public scientific datasets and analysis workflows, including NASA, Madrigal, CDAAC, model, mission, and space-weather packages.
Reference Publication
https://doi.org/10.1029/2018JA025297
Authors
Russell Stoneback ( Cosmic Studio , Stoneris )
Jeff Klenzing ( Goddard Space Flight Center )
Angeline Burrell ( United States Naval Research Laboratory )
Asher Pembroke ( Predictive Science )
Carey Spence ( The University of Texas at Dallas )
Jonathon M. Smith ( Catholic University of America , Goddard Space Flight Center )
Matthew Depew ( The University of Texas at Dallas )
Aadarsh Govada ( Goddard Space Flight Center , Universities Space Research Association )
Ryan Fuller ( The University of Texas at Dallas )
Teresa Esman ( Goddard Space Flight Center )
Veronica Von Bose ( The University of Texas at Dallas )
Nathaniel Hargrave ( The University of Texas at Dallas )
Gayatri Iyer ( The University of Texas at Dallas )
Silvio Leite ( Olist )
Functionality
Coordinate Transforms Data Processing and Analysis Analysis Data Access and Retrieval Data Reduction File Format Conversion Processing Time Series Analysis Mission-related Science Data Processing
Technical Details
Programming Languages Python 3.x
Operating Systems Linux Mac Windows
CPU Architecture CPU Independent
Development Status Active
Publication Date Apr 18, 2015
Publisher Zenodo
Data & File Formats
Data Sources Other
Input Formats ascii csv netCDF3/4 Other
Output Formats ISTP-Compliant netCDF3/4
Science Context
Related Regions Earth Atmosphere Earth Ionosphere Earth Magnetosphere Earth Thermosphere Interplanetary Space
Keywords
atmosphere CubeSat data analysis data management data retrieval electric fields heliophysics heliosphere instrument data ionosphere magnetosphere metadata models nasa data observations orbit plasma pyhc package radar measurements satellite data space physics space science space weather thermosphere time series
Related Items

Related Publications

https://doi.org/10.3389/fspas.2023.1119775

Interoperable Software

https://github.com/pysat/pysatAMISR
https://github.com/pysat/pysatCDAAC
https://github.com/pysat/pysatCDF
https://github.com/pysat/pysatIncubator
https://github.com/pysat/pysatKamodo
https://github.com/pysat/pysatMadrigal
https://github.com/pysat/pysatMissions
https://github.com/pysat/pysatModels
https://github.com/pysat/pysatNASA
https://github.com/pysat/pysatSpaceWeather
https://github.com/pysat/pysatSeasons
Licensing & Funding
License BSD 3-Clause "New" or "Revised" License
Funders Catholic University of America Cosmic Studio Defense Advanced Research Projects Agency Defense Sciences Office Goddard Space Flight Center NASA Ionospheric Connections Explorer (ICON) NASA Scintillation Observations and Response of the Ionosphere to Electrodynamics (SORTIE) NASA Scintillation Prediction Observations Research Task (SPORT) National Aeronautics and Space Administration National Oceanic and Atmospheric Administration NOAA Constellation Observing System for Meteorology Ionosphere and Climate (COSMIC-2) Office of Naval Research United States Naval Research Laboratory U.S. National Science Foundation
Funding Awards
Collaborative Research: CEDAR--Assimilative Analysis of Low- and Mid-latitude Ionospheric Electrodynamics (AGS-1651393) - U.S. National Science Foundation
Collaborative Research: Inferring High Latitude Convection Patterns Using SuperDARN, DMSP and ACE (1259508) - U.S. National Science Foundation
NASA Goddard Space Flight Center HSD Support Partnership (80NSSC21M0180) - National Aeronautics and Space Administration
NASA grant (80NSSC18K1203) - National Aeronautics and Space Administration
NASA grant (NNX10AT02G) - National Aeronautics and Space Administration
NASA ROSES-2020 B.5 Living With a Star Science program element (NNH20ZDA001N-LWS) - National Aeronautics and Space Administration
PR 76-3033-19 PYSAT AND DINEOFS- A GENERALIZED SPACE WEATHER SYSTEM (N00173191G016) - United States Naval Research Laboratory
Space Precipitation Impacts (SPI) - Goddard Space Flight Center
U.S. Naval Research Laboratory award (N0017322P0744) - United States Naval Research Laboratory
Version Information
Current Version v3.2.2
Release Date Mar 20, 2025
Version DOI https://doi.org/10.5281/zenodo.15059161
Release Notes
Bug-fix and maintenance release that includes test data in the source distribution, updates .gitignore, updates Zenodo affiliations and references, clarifies the public-release statement, and updates operational tests for Python 3.9 and Ubuntu 22.04.
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