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| Paper: |
Daiquiri - Python Based Framework for the Publication of Scientific Databases |
| Volume: |
527, Astronomical Data Analysis Software and Systems XXIX |
| Page: |
395 |
| Authors: |
Galkin, A.; Klar, J.; Matijevic, G.; Riebe, K.; Enke, H. |
| Abstract: |
At the Leibniz Institute for Astrophysics Potsdam (AIP) we host, curate, and publish terabytes of astrophysical data using the Daiquiri framework. Dedicated web applications allow scientists from all around the world to run SQL queries and get their desired data in reasonable time. In the last two years, Daiquiri was completely re-written in Python and received major updates - upload of VOTables, VO TAP access and many more features. Daiquiri has been developed in close cooperation with scientists and with support for collaborations in mind. This paper discusses the key features of the Daiquiri framework and the technologies behind it. All components are Open Source software and available on GitHub. |
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