https://github.com/lsst/daf_butler

Data Access abstraction framework for the Rubin Observatory
https://github.com/lsst/daf_butler

astronomy hacktoberfest python

Last synced: 11 months ago
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Data Access abstraction framework for the Rubin Observatory

• Host: GitHub
• URL: https://github.com/lsst/daf_butler
• Owner: lsst
• License: other
• Created: 2017-10-13T21:03:25.000Z (over 8 years ago)
• Default Branch: main
• Last Pushed: 2024-10-29T17:26:59.000Z (over 1 year ago)
• Last Synced: 2024-10-29T17:35:08.167Z (over 1 year ago)
• Topics: astronomy, hacktoberfest, python
• Language: Python
• Homepage:
• Size: 14.8 MB
• Stars: 10
• Watchers: 14
• Forks: 14
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: CITATION.cff

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README

          
# lsst-daf-butler

[![pypi](https://img.shields.io/pypi/v/lsst-daf-butler.svg)](https://pypi.org/project/lsst-daf-butler/)

[![codecov](https://codecov.io/gh/lsst/daf_butler/branch/main/graph/badge.svg?token=2BUBL8R9RH)](https://codecov.io/gh/lsst/daf_butler)

LSST Data Access framework described in [arXiv:2206.14941](https://arxiv.org/abs/2206.14941).

Please cite [the SPIE paper](https://doi.org/10.1117/12.2629569) when using this software.

This is a **Python 3 only** package (we assume Python 3.11 or higher).

* SPIE Paper from 2022: [The Vera C. Rubin Observatory Data Butler and Pipeline Execution System](https://doi.org/10.1117/12.2629569) ([arXiv](https://arxiv.org/abs/2206.14941))

* ADASS paper from 2019: [Abstracting the Storage and Retrieval of Image Data at the LSST](https://ui.adsabs.harvard.edu/abs/2019ASPC..523..653J/abstract).

* Early design note: [DMTN-056](https://dmtn-056.lsst.io)

PyPI: [lsst-daf-butler](https://pypi.org/project/lsst-daf-butler/)

This software is dual licensed under the GNU General Public License (version 3 of the License, or (at your option) any later version, and also under a 3-clause BSD license).

Recipients may choose which of these licenses to use; please see the files gpl-3.0.txt and/or bsd_license.txt, respectively.