scikit-image/scikit-image
Image processing in Python observed · 2026-08-28
Health v2 · maintenance only
82/100
- Activity 99
- Release rhythm 50
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 43
- age_days: 5536
- days_rel: 256
- days_push: 7
- n_releases_24m: 4
Adoption not part of the score
6577 stars · 2406 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
scikit-image is a Python library providing a collection of peer-reviewed image processing algorithms built on NumPy and SciPy. It offers routines for filtering, segmentation, feature detection, transformation, and measurement of images.
Use cases
- filter and denoise images in python
- segment objects in microscopy images
- detect edges and features in images
- warp and transform images with python
- measure region properties of labeled images
- convert color spaces like rgb to grayscale
- analyze scientific images in a jupyter notebook
When to choose
- you need well-tested, peer-reviewed image processing algorithms in Python
- you work within the NumPy/SciPy scientific Python ecosystem
- you need segmentation, morphology, or feature detection without deep learning
- you want a permissively licensed, actively maintained library with strong documentation
When to avoid
- you need GPU-accelerated or deep-learning-based vision models (use PyTorch or OpenCV DNN)
- you need real-time video processing performance
- you work outside Python
Facets
library · maturity stable
image-processing computer-vision data-science image-processing computer-vision data-science python windows cross-platform scipy-ecosystem numpy scientific-imaging segmentation morphology feature-detection linux macos
9 sources
- readme: https://github.com/scikit-image/scikit-image · fetched 2026-08-28 · 14a743232140
- homepage: https://scikit-image.org · fetched 2026-08-29 · c40146345231
- site_page: https://scikit-image.org/docs/stable/user_guide/install.html · fetched 2026-08-29 · fe8ca72434ee
- site_page: https://scikit-image.org/docs/stable/auto_examples · fetched 2026-08-29 · 80f3e5d13831
- site_page: https://scikit-image.org/docs/stable · fetched 2026-08-29 · a95aa605ace8
- site_page: https://scikit-image.org/docs/stable/development/contribute.html · fetched 2026-08-29 · d378c9abeb54
- site_page: https://scikit-image.org/docs/stable/release_notes/release_0.26.html · fetched 2026-08-29 · 320483757243
- site_page: https://scikit-image.org/docs/stable/release_notes/release_0.25.html · fetched 2026-08-29 · 23043bc773a0
- site_page: https://scikit-image.org/docs/stable/release_notes/release_0.24.html · fetched 2026-08-29 · 73946bc3e59c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| scikit-image/scikit-image | main | 82 |
For agents
markdown · JSON · MCP: product_card(name="scikit-image/scikit-image")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem