Rubin Science Platform APIs
Integrate Rubin data into your analysis tools with APIs.
To access APIs you need an access token. See our guide Creating user tokens to learn how to create tokens and use them in VO clients.
API endpoints
Data Preview 2
Data Preview 2 (Early) contains catalog products and coadded images from the Rubin Science Pipelines v30 processing of early observations obtained with LSSTCam from April 2025 to January 2026. Coadded images and catalogs cover ~3000 square degrees; single-epoch catalogs cover ~15,000 square degrees. Read the documentation
https://rsp-test.lsst.ac.uk/api/datalinkhttps://rsp-test.lsst.ac.uk/auth/gmshttps://rsp-test.lsst.ac.uk/api/taphttps://rsp-test.lsst.ac.uk/api/hips/v2/dp2/list
Data Preview 1
Data Preview 1 contains image and catalog products from the Rubin Science Pipelines v29 processing of observations obtained with the LSST Commissioning Camera of seven ~1 square degree fields, over seven weeks in late 2024. Read the documentation
https://rsp-test.lsst.ac.uk/api/datalinkhttps://rsp-test.lsst.ac.uk/auth/gmshttps://rsp-test.lsst.ac.uk/api/taphttps://rsp-test.lsst.ac.uk/api/hips/v2/dp1/list
comcam_vista
This dataset is produced with the LSST–VISTA Fusion Pipeline for the DP1 ComCam–VISTA data in the Extended Chandra Deep Field South (ECDFS). The pipeline processes VISTA near-infrared imaging within an LSST-style framework and combines it with ComCam optical data in a common Butler environment for joint analysis. The main products are pixel-matched Coadd images and associated catalogue products across the available optical and near-infrared bands. These fused products enable consistent photometric analysis across wavelengths, making them particularly well suited for colour studies, SED-based analysis, and any science that benefits from uniform measurements over all bands. docsUrl: "https://community.lsst.org/t/lsst-dp1-vista-video-fusion-dataset-on-the-uk-rsp/12189"
https://rsp-test.lsst.ac.uk/auth/gms
macauff_gaiadr3xcatwise
Table of counterpart associations between Gaia DR3 and CatWISE2020. Uses probabilistic cross-match algorithms as described by Wilson & Naylor (MNRAS, 2017, 2018a,b) and Wilson (RNAAS, 2022). Sources are returned either as a pairing, in which the Gaia and WISE objects are the same astrophysical source detected twice, or as non-matches, with that particular object in one of the catalogues having a corresponding flux upper limits in the opposing catalogue, and entries include various pieces of metadata such as the probability of the match/non-match, likelihood of match on purely position or brightness grounds, and information on the level to which objects suffer contamination due to hidden and unresolved background sources. docsUrl: "https://dp1.lsst.io/"
https://rsp-test.lsst.ac.uk/auth/gms
Documentation
Learn more about the APIs in the Rubin Science Platform API Aspect guide.