Bobra, Monica G.Mumford, Stuart J.Hewett, Russell J.Christe, Steven D.Reardon, KevinSavage, SabrinaIreland, JackPereira, Tiago M. D.Chen, BinPerez-Suarez, David2021-01-052021-01-052020-04-200038-093857http://hdl.handle.net/10919/101738The SunPy Project developed a 13-question survey to understand the software and hardware usage of the solar-physics community. Of the solar-physics community, 364 members across 35 countries responded to our survey. We found that 99 +/- 0.5 of respondents use software in their research and 66% use the Python scientific-software stack. Students are twice as likely as faculty, staff scientists, and researchers to use Python rather than Interactive Data Language (IDL). In this respect, the astrophysics and solar-physics communities differ widely: 78% of solar-physics faculty, staff scientists, and researchers in our sample uses IDL, compared with 44% of astrophysics faculty and scientists sampled by Momcheva and Tollerud (2015). 63 +/- 4 of respondents have not taken any computer-science courses at an undergraduate or graduate level. We also found that most respondents use consumer hardware to run software for solar-physics research. Although 82% of respondents work with data from space-based or ground-based missions, some of which (e.g. the Solar Dynamics Observatory and Daniel K. Inouye Solar Telescope) produce terabytes of data a day, 14% use a regional or national cluster, 5% use a commercial cloud provider, and 29% use exclusively a laptop or desktop. Finally, we found that 73 +/- 4 of respondents cite scientific software in their research, although only 42 +/- 3 do so routinely.application/pdfenCreative Commons Attribution 4.0 InternationalInstrumentation and data managementArticle - Refereedhttps://doi.org/10.1007/s11207-020-01622-229541573-093X