The Heliophysics Application Programmer’s Interface (HAPI) is a standard mechanism for accessing time series data. Because of its adoption at multiple Heliophysics (HP) and Space Weather (SW) data centers, it is now a useful way to reach many different resources within the community. It is also a COSPAR standard. The use of HAPI so far has been as a standard layer on top of a traditional mission or instrument archive, where HAPI lives alongside an existing, custom web-based computer interface. We will give highlights of recent additions to the specification which is now at version 3.0, with 3.1 around the corner. We also will present explorations into two new ways in which HAPI can be utilized. 1) HAPI as a way to access output from model runs, which can generate large volumes of data at various time cadences and spatial distributions. 2) HAPI as an interface over cloud-based data resources. In the cloud, HAPI can connect large volumes of data to scientist-friendly front-end analysis capabilities, such as a JupyterHub or potentially a Pangeo-like environment. The evolution of HAPI and its uses is expected to keep enhancing interoperability among Heliophysics and Space Weather resources.

The reproducibility crisis was sparked five years ago by a Nature survey that revealed most researchers have tried and failed to reproduce another scientist’s experiments (Baker, 2016). Although the severity of the crisis is still being debated, it has spurred researchers to include reproducibility and open science practices in their work. To that end, the Python in Heliophysics Community (PyHC) encourages members of the heliophysics community to create “executable papers,” which are interactive pieces of software that combine text, data, and code to enable readers to reproduce every step taken to arrive at a publication’s conclusions. We describe the development of an executable paper—in this case, one centered around magnetopause boundary crossings in satellite data—our coordination efforts between scientists and software developers, and the current technology that makes this possible. We aim to promote this novel paper format and be an example to the heliophysics community of how scientists and software developers can work together to produce research that is transparent and reproducible.