# qupath/qupath

QuPath - Open-source bioimage analysis for research

Repository: https://github.com/qupath/qupath
Canonical: https://ross.abutalabs.com/products/qupath
Homepage: https://qupath.github.io
Language: Java
License: GPL-3.0
License Family: copyleft
Topics: bioimage-informatics, image-processing, digital-pathology, pathology, machine-learning, cell-segmentation, whole-slide-imaging, bioimage-analysis, cell-analysis, imagej, opencv, groovy, histology, javafx, tissue-microarray-analysis, computational-pathology
Last push: 2026-08-22T14:43:48+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 40, longevity 100
- inputs: {"age_days": 3657, "days_push": 11, "days_rel": 184, "gap_med": 248, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1430, forks 359 (observed 2026-08-28T04:04:42.212165+00:00)

## What it is
QuPath is an open-source desktop application for bioimage analysis, aimed especially at digital pathology and whole-slide imaging. It provides annotation tools, cell segmentation, interactive machine learning classification, and scripting for batch processing and integration with tools like ImageJ.

## Use cases
- analyze whole slide images from digital pathology scans
- segment and count cells in microscopy images
- train interactive classifiers to label tissue regions
- dearray tissue microarrays automatically
- batch-process large sets of bioimages with Groovy scripts
- view and annotate large whole-slide images
- integrate image analysis workflows with ImageJ

## When to choose
- you need to analyze histology or pathology whole-slide images
- you want an interactive GUI for annotating and classifying bioimages
- you need cell segmentation or tissue microarray analysis out of the box
- you want scriptable, reproducible bioimage analysis workflows

## When to avoid
- you need a headless server-side image pipeline rather than a desktop GUI
- your images are not biological/medical microscopy images
- you require a permissive license for commercial use (GPLv3, research-use intent)
- you need general-purpose photo editing rather than scientific image analysis

## Facets
- artifact type: application
- maturity: active
- function: image-processing, machine-learning, computer-vision, gui, data-visualization
- domain: bioinformatics, healthcare, image-processing, computer-vision, machine-learning
- platform: windows, cross-platform
- tags: bioimage-analysis, digital-pathology, whole-slide-imaging, cell-segmentation, histology, imagej, javafx, research-software, macos, linux, desktop

## Member repositories
- qupath/qupath (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:42.212165+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 2026-08-30T04:37:12.980932+00:00, confidence not recorded.
  - readme: https://github.com/qupath/qupath (fetched 2026-08-28T04:04:42.212165+00:00, sha 0c9d781f80c9)
  - homepage: https://qupath.github.io (fetched 2026-08-29T11:48:41.106498+00:00, sha ad39d3f2ab79)
- Data as of 2026-08-30T08:39:29.467469+00:00.