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Interoperability for Heliophysics and Planetary Time Series Data via HAPI
  • +8
  • Jon Vandegriff,
  • Robert Weigel,
  • Jeremy Faden,
  • E. Grimes,
  • D Aaron Roberts,
  • Todd King,
  • Nand Lal,
  • Bernard Harris,
  • Robert Candey,
  • Scott Boardsen,
  • Lawrence Brown
Jon Vandegriff
Johns Hopkins University Applied Physics Laboratory

Corresponding Author:[email protected]

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Robert Weigel
George Mason University
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Jeremy Faden
Self Employed
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E. Grimes
University of California Los Angeles
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D Aaron Roberts
NASA Goddard SFC
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Todd King
UCLA/ESS
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Nand Lal
NASA Goddard Space Flight Cntr
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Bernard Harris
NASA Goddard Space Flight Cntr
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Robert Candey
NASA Goddard Space Flight Cntr
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Scott Boardsen
NASA Goddard SFC
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Lawrence Brown
Applied Physics Laboratory Johns Hopkins
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Abstract

The Heliophysics Application Programmer’s Interface (HAPI) represents a grass-roots effort to develop a common interface that data providers can use to offer time series data for computer-to-computer data access. Multiple data centers with Heliophysics and Planetary data are adopting this emerging standard. Several scientific analysis packages (Autoplot, SPEDAS) seamlessly pull from HAPI servers, and we have created and are enhancing Python libraries that can be used to read HAPI data into useful data structures within personalized analysis code. The HAPI specification and supporting software are available on GitHub. We will discuss the latest developments of the HAPI specification, current server and client implementations, all in the context of the push for increased interoperability within Heliophysics and Planetary data analysis. https://hapi-server.github.io/