Iris is a powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data
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#ShowYourStripes
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.
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10 maintainers
Release files for scitools-iris 3.16.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| scitools_iris-3.16.2.tar.gz | 2.1 MB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scitools_iris-3.16.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.8 MB
Release files / scitools_iris-3.16.2.tar.gz
| Download URL | scitools_iris-3.16.2.tar.gz |
|---|---|
| Size | 2.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.13.13
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Transparency logRelease files / scitools_iris-3.16.2-py3-none-any.whl
| Download URL | scitools_iris-3.16.2-py3-none-any.whl |
|---|---|
| Size | 2.7 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
55b3b47e0cfd63506b3dfdb19228564ba047c6098a9e4f7fcc5c494c63b66350
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Provenance
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 6, 2026.
Transparency logSecurity for scitools-iris 3.16.2
Provenance
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Full provenance
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Attestation for scitools_iris-3.16.2.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 6, 2026.
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