Skip to main content

Hierarchical Progressive Survey Catalog

Project description

HiPSCat

Template

PyPI Conda

GitHub Workflow Status codecov Read the Docs benchmarks

Hierarchical Progressive Survey Catalog

A HiPSCat catalog is a partitioning of objects on a sphere. Its purpose is for storing data from large astronomy surveys, but could probably be used for other use cases where you have large data with some spherical properties.

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 completed installation instructions and contribution best practices.

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


Download files

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

Source Distribution

hipscat-0.3.8.tar.gz (874.2 kB view details)

Uploaded Source

Built Distribution

hipscat-0.3.8-py3-none-any.whl (78.5 kB view details)

Uploaded Python 3

File details

Details for the file hipscat-0.3.8.tar.gz.

File metadata

  • Download URL: hipscat-0.3.8.tar.gz
  • Upload date:
  • Size: 874.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for hipscat-0.3.8.tar.gz
Algorithm Hash digest
SHA256 1d55e3bada6f60a70e0bde71ab5705f3ea12d19b2d17486116eab9a456d20732
MD5 1ea64665deba587374560e530e9008f8
BLAKE2b-256 4c93d9de7486173c95496a13b37800a75abdafc420f9d0a6c15392b98385a8f9

See more details on using hashes here.

File details

Details for the file hipscat-0.3.8-py3-none-any.whl.

File metadata

  • Download URL: hipscat-0.3.8-py3-none-any.whl
  • Upload date:
  • Size: 78.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for hipscat-0.3.8-py3-none-any.whl
Algorithm Hash digest
SHA256 f21005b9b02c1dc760246b40009cf2582bd03ba27925aa12cbe3f8b5706b85b4
MD5 306a125446b191db713da7c4e683cadf
BLAKE2b-256 82d64a94599a44a21e14abcc8146bf668892749074e81bbe087471fd4fef4d02

See more details on using hashes here.

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