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Skyportal

Collaborative platform for time-domain astronomy

From skyportal·Updated June 18, 2026·View on GitHub·

**skyportal** is a Collaborative platform for time-domain astronomy The project is written primarily in Python, distributed under the Other license, first published in 2017. Key topics include: astronomy, collaborative-research, lsst, machine-learning, transient-astronomy.

Latest release: v1.4.0SkyPortal v1.4.0 release (2025-04-15)
April 15, 2025View Changelog →
<h1 align="center"> <br> <img src="https://github.com/skyportal/skyportal/raw/main/static/images/skyportal_logo.png" alt="SkyPortal Logo" width="100px" /> <br> SkyPortal <br> </h1> <h2 align="center"> An Astronomical Data Platform </h2> <p> <span style="font-size: 180%;"> Please see the <a href="https://skyportal.io">project homepage</a> for more information. </span> </p> <p> <a style="border-width:0" href="https://doi.org/10.21105/joss.01247"> <img src="http://joss.theoj.org/papers/10.21105/joss.01247/status.svg" alt="DOI badge" > </a> </p>

Installation & Usage

Please refer to the <a href="https://skyportal.io/docs">project documentation</a>.

Citing SkyPortal

When utilizing this code for a publication, kindly make a reference to the package by its name, SkyPortal, and citations to the companion papers SkyPortal: An Astronomical Data Platform and A data science platform to enable time-domain astronomy
. The BibTeX entries for the papers are:

bibtex
@article{vanderWalt2019, doi = {10.21105/joss.01247}, url = {https://doi.org/10.21105/joss.01247}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {37}, pages = {1247}, author = {Stéfan J. van der Walt and Arien Crellin-Quick and Joshua S. Bloom}, title = {SkyPortal: An Astronomical Data Platform}, journal = {Journal of Open Source Software} } @article{Coughlin_2023, title={A Data Science Platform to Enable Time-domain Astronomy}, volume={267}, ISSN={1538-4365}, url={http://dx.doi.org/10.3847/1538-4365/acdee1}, DOI={10.3847/1538-4365/acdee1}, number={2}, journal={The Astrophysical Journal Supplement Series}, publisher={American Astronomical Society}, author={Coughlin, Michael W. and Bloom, Joshua S. and Nir, Guy and Antier, Sarah and du Laz, Theophile Jegou and van der Walt, Stéfan and Crellin-Quick, Arien and Culino, Thomas and Duev, Dmitry A. and Goldstein, Daniel A. and Healy, Brian F. and Karambelkar, Viraj and Lilleboe, Jada and Shin, Kyung Min and Singer, Leo P. and Ahumada, Tomás and Anand, Shreya and Bellm, Eric C. and Dekany, Richard and Graham, Matthew J. and Kasliwal, Mansi M. and Kostadinova, Ivona and Kiendrebeogo, R. Weizmann and Kulkarni, Shrinivas R. and Jenkins, Sydney and LeBaron, Natalie and Mahabal, Ashish A. and Neill, James D. and Parazin, B. and Peloton, Julien and Perley, Daniel A. and Riddle, Reed and Rusholme, Ben and van Santen, Jakob and Sollerman, Jesper and Stein, Robert and Turpin, D. and Wold, Avery and Amat, Carla and Bonnefon, Adrien and Bonnefoy, Adrien and Flament, Manon and Kerkow, Frank and Kishore, Sulekha and Jani, Shloke and Mahanty, Stephen K. and Liu, Céline and Llinares, Laura and Makarison, Jolyane and Olliéric, Alix and Perez, Inès and Pont, Lydie and Sharma, Vyom}, year={2023}, month=jul, pages={31} }

Acknowledgments

If you benefited from participating in our community, we ask that you please acknowledge the SkyPortal collaboration, and particular individuals who helped you, in any publications.
Please use the following text for this acknowledgment:

We acknowledge the SkyPortal collective as an open community of multi-domain experts and collaborators. This community and <names of individuals>, in particular, were important for the development of this project.

Funding

We gratefully acknowledge previous and current support from the Gordon and Betty Moore Foundation, through both the Data-Driven Investigator Program (No. <a href="https://www.moore.org/grant-detail?grantId=GBMF4550">GBMF4550</a>) and a dedicated grant (No. <a href="https://www.moore.org/grant-detail?grantId=GBMF9122">GBMF9122</a>) and the U.S. National Science Foundation (NSF) Harnessing the Data Revolution (HDR) Institute for <a href="https://a3d3.ai">Accelerating AI Algorithms for Data Driven Discovery (A3D3)</a> under Cooperative Agreement No. <a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=2117997">PHY-2117997</a> to develop SkyPortal.

<p align="center"> <img src="https://github.com/skyportal/skyportal/blob/main/assets/moore.png" alt="Moore" width="200"/> <img src="https://github.com/skyportal/skyportal/blob/main/assets/nsf.png" alt="NSF" width="200"/> <img src="https://github.com/skyportal/skyportal/blob/main/assets/a3d3.png" alt="A3D3" width="200"/>

Contributors

Showing top 12 contributors by commit count.

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This article is auto-generated from skyportal/skyportal via the GitHub API.Last fetched: 6/19/2026