sunkit-image is a a open-source toolbox for solar physics image processing. Currently it is an experimental library for solar physics specific image processing routines. Ideally it will only contain routines that have been published in the literature.
See sunkit-image Documentation for instructions on how to install and contribute.
Usage of Generative AI
We expect authentic engagement in our community. Do not post the output from Large Language Models or similar generative AI as code, issues or comments on GitHub or any other platform. If you use generative AI tools as an aid in developing code or documentation changes, ensure that you fully understand the proposed changes and can explain why they are the correct approach and an improvement to the current state. For more information see our documentation on fair and appropriate AI usage.
Contributing
We love contributions! sunkit-image is open source, built on open source, and we’d love to have you hang out in our community.
If you would like to get involved, check out the Developers Guide section of the SunPy docs. Stop by our chat room #sunpy:openastronomy.org if you have any questions. Help is always welcome so let us know what you like to work on, or check out the issues page for the list of known outstanding items.
For more information on contributing to SunPy, please read our Newcomers’ guide.
When you are interacting with the SunPy community you are asked at to follow our code of conduct.
Metadata
Release files for sunkit-image 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sunkit_image-0.7.0.tar.gz | 6.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sunkit_image-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.9 MB
Release files / sunkit_image-0.7.0.tar.gz
| Download URL | sunkit_image-0.7.0.tar.gz |
|---|---|
| Size | 6.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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Signed by GitHub Actions, verified by PyPI on Mar 19, 2026.
Transparency logRelease files / sunkit_image-0.7.0-py3-none-any.whl
| Download URL | sunkit_image-0.7.0-py3-none-any.whl |
|---|---|
| Size | 6.5 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Mar 19, 2026.
Transparency log
