# Image-Py/imagepy

Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy

Repository: https://github.com/Image-Py/imagepy
Canonical: https://ross.abutalabs.com/products/imagepy
Homepage: http://imagepy.org
Language: Python
License: BSD-4-Clause
License Family: permissive
Topics: imagej, scikit-image, opencv, simpleitk
Last push: 2024-02-21T16:32:43+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3534, "days_push": 924, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1363, forks 328 (observed 2026-08-28T04:04:30.428630+00:00)

## What it is
ImagePy is an open-source, ImageJ-like interactive image processing application and plugin framework written in Python, built on wxPython, NumPy, and pandas. It integrates with scipy.ndimage, scikit-image, OpenCV, and SimpleITK, offering filtering, segmentation, measurement, and analysis through a GUI.

## Use cases
- analyze bioimage microscopy data interactively
- segment images and count regions with a GUI
- run ImageJ-style image processing in Python
- build custom image processing plugins on numpy
- measure geometry and density in images
- filter and apply morphological operations to images

## When to choose
- you want an ImageJ-like GUI backed by the Python scientific stack
- you need to glue scikit-image, OpenCV, or SimpleITK into one interactive tool
- you want a plugin-based image analysis workflow without writing full apps

## When to avoid
- you need fully automated headless image pipelines
- you require a modern actively developed UI toolkit
- you need deep-learning-based segmentation out of the box

## Facets
- artifact type: application
- maturity: maintenance
- function: image-processing, gui, plugin-system, data-visualization
- domain: image-processing, computer-vision, data-science, bioinformatics
- platform: python, windows, cross-platform
- tags: imagej-alternative, wxpython, scikit-image, opencv, bioimage-analysis, scientific-imaging, linux, macos, desktop

## Member repositories
- Image-Py/imagepy (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:30.428630+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:41:23.498366+00:00, confidence not recorded.
  - readme: https://github.com/Image-Py/imagepy (fetched 2026-08-28T04:04:30.428630+00:00, sha fc14b8230b34)
  - registry_pypi: https://pypi.org/pypi/imagepy/json (fetched 2026-08-29T11:58:57.404837+00:00, sha ea346886b45b)
- Data as of 2026-08-30T08:39:29.467469+00:00.