astroquery: An Astronomical Web-querying Package in Python

By A. Ginsburg, B. SipHocz, C. Brasseur, P. Cowperthwaite, M. Craig, C. Deil, J. Guillochon, Giannina Guzman, Simon Liedtke, P. Lim and 14 more. Astronomical Journal, 2019

613 citations recorded by the source corpus.

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. 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 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/.

Subfields: Artificial Intelligence, Astronomy and Astrophysics, Instrumentation

View Paper: https://www.semanticscholar.org/paper/2478f43de2f1fcd9301a81e9b42d86b1d46db02d

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In Artificial Intelligence

1. S. Christe
2. T. Erben
3. Daniel Foreman-Mackey
4. M. Boquien
5. Lee R. Spitler
6. Eli S. Rykoff
7. Monica G. Bobra
8. P. McMillan

In Astronomy and Astrophysics

1. M. Boquien
2. Derek Homeier
3. S. Christe
4. T. Erben
5. B. Weaver
6. Brigitta M. Sipocz
7. Daniel Foreman-Mackey
8. Adrian M. Price-Whelan

In Instrumentation

1. Derek Homeier
2. T. Erben
3. B. Weaver
4. Brigitta M. Sipocz
5. Daniel Foreman-Mackey
6. Adrian M. Price-Whelan
7. W. M. Wood-Vasey
8. M. Boquien

Citations in the corpus

• The SunPy Project: Open Source Development and Status of the Version 1.0 Core Package (2020, methodology): “Software: astropy (Collaboration 2018), astroquery (Ginsburg et al. 2019), drms (Glogowski et al. 2019), GWCS (Dencheva et al. 2018), matplotlib (Caswell et al. 2019), ndcube, numpy (v1.”
• The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package (2022, background): “Several of the coordinated and affiliated packages described in Astropy Collaboration et al. (2018) have had substantial improvements. astroquery (Ginsburg et al. 2019) has added access to roughly a dozen new missions and data services, including the JWST archive, and the Project has switched to a…”