Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

Iris

Iris is a powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data

⚙️ CI ci-manifest ci-tests ci-wheels pre-commit
💬 Community Contributor Covenant GH Discussions bluesky
📖 Documentation rtd Check Links
📈 Health codecov
✨ Meta Ruff NEP29 license - bds-3-clause conda platform zizmor
📦 Package DOI conda-forge pypi pypi - python version
🧰 Repo commits-since contributors release

For documentation see the latest developer version or the most recent released stable version.

#ShowYourStripes

#showyourstripes Global 1850-2021

Graphics and Lead Scientist: Ed Hawkins, National Centre for Atmospheric Science, University of Reading.

Data: Berkeley Earth, NOAA, UK Met Office, MeteoSwiss, DWD, SMHI, UoR, Meteo France & ZAMG.

#ShowYourStripes is distributed under a Creative Commons Attribution 4.0 International License creative-commons-by

Metadata

Release files for scitools-iris 3.17.0rc0

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

Source distribution (sdist)

Source distribution for scitools-iris 3.17.0rc0
File Size Uploaded Provenance Actions
scitools_iris-3.17.0rc0.tar.gz 2.3 MB With provenance Details for scitools_iris-3.17.0rc0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for scitools-iris 3.17.0rc0
File Interpreter ABI Platform Actions
scitools_iris-3.17.0rc0-py3-none-any.whl Python 3 none any Details for scitools_iris-3.17.0rc0-py3-none-any.whl

Total release size: 5.2 MB

Release files / scitools_iris-3.17.0rc0.tar.gz

Download URL scitools_iris-3.17.0rc0.tar.gz
Size 2.3 MB
Tags Source
SHA-256 checksum
How to use checksums
2f8a01ce0e6bb6407d0656139bab80ffefe9207e57e5e2cb2a1d79df685c2e93
BLAKE2b-256 checksum
How to use checksums
8f63958a8d545714210173cc80a9b6bcd44f846a7d79a2ce29b25d41f331cbf7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 30, 2026.

Transparency log

Release files / scitools_iris-3.17.0rc0-py3-none-any.whl

Download URL scitools_iris-3.17.0rc0-py3-none-any.whl
Size 3.0 MB
Tags Python 3
SHA-256 checksum
How to use checksums
a9339c7be3de0323fa9e4421f1ff694a419e935f16e8a5807921bdc359aa196d
BLAKE2b-256 checksum
How to use checksums
0450e64ab268f18d27bc4d0aeac028cfbecce45afdef2339a421c332dafdd27e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 30, 2026.

Transparency log

Security for scitools-iris 3.17.0rc0

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.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for scitools_iris-3.17.0rc0.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 30, 2026.

Transparency log

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
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