Skip to main content

Spatial analysis for extremely large astronomical databases using dask

Project description



PyPI Conda

GitHub Workflow Status codecov Read the Docs benchmarks

LSDB - Large Survey DataBase

A framework to facilitate and enable spatial analysis for extremely large astronomical databases (i.e. querying and crossmatching O(1B) sources). This package uses dask to parallelize operations across multiple HiPSCat partitioned surveys.

Check out our ReadTheDocs site for more information on partitioning, installation, and contributing.

See related projects:


GitHub issue custom search in repo

See the contribution guide for complete installation instructions and contribution best practices.


This project is supported by Schmidt Sciences.

This project is based upon work supported by the National Science Foundation under Grant No. AST-2003196.

This project acknowledges support from the DIRAC Institute in the Department of Astronomy at the University of Washington. The DIRAC Institute is supported through generous gifts from the Charles and Lisa Simonyi Fund for Arts and Sciences, and the Washington Research Foundation.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lsdb-0.2.6.tar.gz (14.1 MB view hashes)

Uploaded Source

Built Distribution

lsdb-0.2.6-py3-none-any.whl (65.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page