scikit-image’s documentation
Date: Dec 20, 2025, Version: 0.26.0
Welcome! scikit-image is an image processing toolbox which builds on numpy, scipy.ndimage and other libraries to provide a versatile set of image processing routines in Python. Our project and community is guided by the scikit-image Code of Conduct.
Quick links
New to scikit-image? Start with our installation guide and scikit-image’s key concepts.
Browse our gallery of entry-level and domain-specific examples.
Need help with a particular image analysis task? Ask us and a large image analysis community on our user forum image.sc.
A detailed description of scikit-image’s public Python API. Assumes an understanding of the key concepts.
Saw a typo? Found a bug? Want to improve a function? Learn how to contribute to scikit-image!
Upgrading from a previous version? See what’s new and changed between each release of scikit-image.
Get to know the project and the community. Learn where we are going and how we work together.
scikit-image proposals, documents describing major changes to the library.
See also our site-wide Index our search this documentation.
© 2019 the scikit-image team
Licensed under the BSD 3-clause License.
https://scikit-image.org/docs/0.26.x/
