Python Satellite Data Analysis Toolkit
Explore science data from NASA and beyond.
The Python Satellite Data Analysis Toolkit (pysat) makes it easy for scientists and everyday Python users to download
and use science data from NASA and other data sources. Significantly, pysat enables the creation of science data analysis
packages that work equally well on any data set, making it easy for scientists and members of the public to verify that
published results are valid. Pysat’s potential for broad community impact led to a cover article in the Journal of
Geophysical Research – Space Physics, in June 2018. Pysat’s article was in the top ten percent most downloaded in the
year following publication. Pysat is open source, freely available, and a NumFOCUS affiliated project.
The pysat Ecosystem
Discover the full suite of pysat packages.
Pysat is built on a plug-in architecture which makes it possible to work with any dataset. The pysat team has released a variety of packages to support data sets from NASA, National Science Foundation, etc.
for use within pysat. The full suite of packages pysatCDAAC, pysatCDF, pysatMadrigal, pysatMissions, pysatModels,
pysatNASA, pysatSeasons, and pysatSpaceWeather are available via the links below:
The pysat Ecosystem
Discover the full suite of pysat packages.
Pysat is built on a plug-in architecture which makes it possible to work with any dataset. The pysat team has released a variety of packages to support data sets from NASA, National Science Foundation, etc.
for use within pysat. The full suite of packages pysatCDAAC, pysatCDF, pysatMadrigal, pysatMissions, pysatModels,
pysatNASA, pysatSeasons, and pysatSpaceWeather are available via the links below: