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arXiv · 1901.04520

astroquery: An Astronomical Web-Querying Package in Python

Adam Ginsburg·Brigitta M. Sipőcz·C. E. Brasseur·Philip S. Cowperthwaite·Matthew W. Craig·Christoph Deil·James Guillochon·Giannina Guzman·Simon Liedtke·Pey Lian Lim·Kelly E. Lockhart·Michael Mommert·Brett M. Morris·Henrik Norman·Madhura Parikh·Magnus V. Persson·Thomas P. Robitaille·Juan-Carlos Segovia·Leo P. Singer·Erik J. Tollerud·Miguel de Val-Borro·Ivan Valtchanov·Julien Woillez·the Astroquery collaboration
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Abstract

astroquery is a collection of tools for requesting data from databases hosted on remote servers with interfaces exposed on the internet, including those with web pages but without formal application program interfaces (APIs). These tools are built on the Python requests package, which is used to make HTTP requests, and astropy, which provides most of the data parsing functionality. astroquery modules generally attempt to replicate the web page interface provided by a given service as closely as possible, making the transition from browser-based to command-line interaction easy. astroquery has received significant contributions from throughout the astronomical community, including several significant contributions from telescope archives. astroquery enables the creation of fully reproducible workflows from data acquisition through publication. This paper describes the philosophy, basic structure, and development model of the astroquery package. The complete documentation for astroquery can be found at http://astroquery.readthedocs.io/.

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Adam Ginsburg, Brigitta M. Sipőcz, C. E. Brasseur, Philip S. Cowperthwaite, Matthew W. Craig, Christoph Deil, James Guillochon, Giannina Guzman, Simon Liedtke, Pey Lian Lim, Kelly E. Lockhart, Michael Mommert, Brett M. Morris, Henrik Norman, Madhura Parikh, Magnus V. Persson, Thomas P. Robitaille, Juan-Carlos Segovia, Leo P. Singer, Erik J. Tollerud, Miguel de Val-Borro, Ivan Valtchanov, Julien Woillez, the Astroquery collaboration. 2019-01-14. astroquery: An Astronomical Web-Querying Package in Python. https://doi.org/10.3847/1538-3881/aafc33

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