Spatial analysis for extremely large astronomical catalogs using dask

Navigation

Verified details

These details have been verified by PyPI
Project links
Owner
GitHub Statistics
Maintainers
Avatar for awoldag from gravatar.com awoldag Avatar for jeremykubica from gravatar.com jeremykubica Avatar for maxwest from gravatar.com maxwest Avatar for olynn from gravatar.com olynn Avatar for scampos from gravatar.com scampos

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers
Report project as malware

Project description

LSDB

Template

PyPI Conda

GitHub Workflow Status codecov Read the Docs benchmarks

DOI:10.3847/2515-5172/ad4da1

LSDB

LSDB is a python tool for scalable analysis of large catalogs (i.e. querying and crossmatching ~10⁹ sources). This package uses dask to parallelize operations across multiple HATS partitioned surveys.

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

See related projects:

Contributing

GitHub issue custom search in repo

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

Citation

If you use LSDB in your work, please cite the conference proceedings: "Using LSDB to enable large-scale catalog distribution, cross-matching, and analytics".

If you use Rubin Data Preview 1 (DP1) with LSDB, please also cite: "Variability-finding in Rubin Data Preview 1 with LSDB".

Find full citation information here.

Acknowledgements

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

Verified details

These details have been verified by PyPI
Project links
Owner
GitHub Statistics
Maintainers
Avatar for awoldag from gravatar.com awoldag Avatar for jeremykubica from gravatar.com jeremykubica Avatar for maxwest from gravatar.com maxwest Avatar for olynn from gravatar.com olynn Avatar for scampos from gravatar.com scampos

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

0.9.0

0.8.2

0.8.1

0.8.0

0.7.3

0.7.2

This version

0.7.1

0.7.0

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.3

0.5.2

0.5.1

0.5.0

0.4.6

0.4.5

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.0

0.2.9

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

0.0.4

0.0.3

0.0.2

Download files

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

Source Distribution

lsdb-0.7.1.tar.gz (22.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lsdb-0.7.1-py3-none-any.whl (127.1 kB view details)

Uploaded Python 3

File details

Details for the file lsdb-0.7.1.tar.gz.

File metadata

  • Download URL: lsdb-0.7.1.tar.gz
  • Upload date:
  • Size: 22.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for lsdb-0.7.1.tar.gz
Algorithm Hash digest
SHA256 e802455ff827baef410672bddd30f14630ed2cfff7f2684a76c4bb617f9e16ec
MD5 25cad3b254cd7549c2148a25c948eab8
BLAKE2b-256 8d845caaf359c923481373080149473a5b9c61d79ed10d87dbd95e04c3e63c0d

See more details on using hashes here.

Provenance

The following attestation bundles were made for lsdb-0.7.1.tar.gz:

Publisher: publish-to-pypi.yml on astronomy-commons/lsdb

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file lsdb-0.7.1-py3-none-any.whl.

File metadata

  • Download URL: lsdb-0.7.1-py3-none-any.whl
  • Upload date:
  • Size: 127.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for lsdb-0.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8f3c0f98724b5ef427ccde34172973d135d0eb8d2a1905af96588ccc0bd14b43
MD5 782636ae3d86b26e61eeea3f8d41e492
BLAKE2b-256 c8c540cb4c9f4eb8848b58bf85efb73146c5f93b4b36042f2bfd59deef89a9d9

See more details on using hashes here.

Provenance

The following attestation bundles were made for lsdb-0.7.1-py3-none-any.whl:

Publisher: publish-to-pypi.yml on astronomy-commons/lsdb

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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