Skip to main content

N-Dimensional Resampler for Irregularly Gridded Data

GitHub Actions CI Status Coverage Status Documentation Status Latest DOI

Grig is a fully N-dimensional resampling package for irregularly gridded data. It was primarily developed for generating astronomical image mosaics and spectral image cubes, but has broad applicability to scientific data arrays with or without associated errors.

For more information about installing and using this package, see the online documentation, or docs/install.rst in the source distribution.

License

This project is Copyright (c) Universities Space Research Association under Government Prime Contract Number NNA17BF53C and licensed under the terms of the BSD 3-Clause license.

Metadata

Release files for grig 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for grig 1.0.0
File Size Uploaded Provenance Actions
grig-1.0.0.tar.gz 9.4 MB Without provenance Details for grig-1.0.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for grig 1.0.0
File Interpreter ABI Platform Actions
grig-1.0.0-py3-none-any.whl Python 3 none any Details for grig-1.0.0-py3-none-any.whl

Total release size: 9.7 MB

Release files / grig-1.0.0.tar.gz

Download URL grig-1.0.0.tar.gz
Size 9.4 MB
Tags Source
SHA-256 checksum
How to use checksums
d7d9606f728f73e92c7139b7174226a749c558126a81bc3b162b03835310c77a
BLAKE2b-256 checksum
How to use checksums
fa5f352661757e2d3f4b5ec4ec83c46734b332adb70c23ecf061cb02dd3aea0a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.4

Release files / grig-1.0.0-py3-none-any.whl

Download URL grig-1.0.0-py3-none-any.whl
Size 260.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
34b474c4eb014b3ae1ea3f4afb954b473e9a367c4a0826657726e1b0ed9beec7
BLAKE2b-256 checksum
How to use checksums
7d3dc8a89c19144b342650eebf2d4d0c839fc819221eac737272db0a67356f08
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.4

Security for grig 1.0.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

1.0.0 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page