Every scientific instrument has unique properties, though the general process for science data analysis is platform independent. This process can by described as: finding and downloading data, writing code to load the data, cleaning the data to an appropriate level, and applying the specific analysis for a project, and plotting the results. The Python Satellite Data Analysis Toolkit (pysat) provides a framework to support this general process that builds upon these commonalities. In doing so, pysat simplifies the process of using new instruments, reduces data management overhead, and enables the creation of instrument independent analysis routines. Although pysat was initially designed for in situ satellite measurements, pysat has grown to support both observational and modelled space science measurements.

The newest incarnation of pysat has been pared down to focus on the core elements of our mission: providing a framework for data management and analysis. The instruments and analysis tools currently supported by the greater pysat ecosystem can be found in the Ecosystem section.


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