# napari/napari

napari: a fast, interactive, multi-dimensional image viewer for python

Repository: https://github.com/napari/napari
Canonical: https://ross.abutalabs.com/products/napari
Homepage: https://napari.org
Language: Python
License: BSD-3-Clause
License Family: permissive
Topics: napari, numpy, visualization, python
Last push: 2026-08-25T17:13:28+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 87, longevity 100
- inputs: {"age_days": 2943, "days_push": 8, "days_rel": 8, "gap_med": 41.0, "n_releases_24m": 15}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2739, forks 531 (observed 2026-08-28T04:07:16.416923+00:00)

## What it is
napari is a fast, interactive, multi-dimensional image viewer for Python, built on top of Qt and numpy. It is designed for browsing, annotating, and analyzing large multi-dimensional images, with an extensible plugin ecosystem.

## Use cases
- view large multi-dimensional microscopy images interactively
- annotate and label regions in 3D image stacks
- visualize numpy arrays with layers in Python
- inspect segmentation results alongside raw image data
- build interactive image analysis workflows in Python
- browse z-stack or time-lapse imaging data

## When to choose
- you need a fast GUI viewer for n-dimensional arrays in Python
- you want to annotate images and integrate viewing into Python analysis pipelines
- you work with scientific imaging data like microscopy or medical volumes

## When to avoid
- you only need static plots or charts rather than interactive image viewing
- you need a headless server-side image processing tool
- you require a lightweight viewer without a desktop GUI environment

## Facets
- artifact type: application
- maturity: active
- function: data-visualization, image-processing, gui
- domain: data-visualization, image-processing, data-science, developer-tools
- platform: python, cross-platform
- tags: image-viewer, scientific-imaging, numpy, annotation, microscopy, n-dimensional-arrays, desktop

## Member repositories
- napari/napari (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:16.416923+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 2026-08-30T08:19:12.231939+00:00, confidence not recorded.
  - readme: https://github.com/napari/napari (fetched 2026-08-28T04:07:16.416923+00:00, sha 496cc8ccef30)
  - homepage: https://napari.org (fetched 2026-08-29T09:57:26.031611+00:00, sha a4184b942428)
  - registry_pypi: https://pypi.org/pypi/napari/json (fetched 2026-08-29T09:57:26.041096+00:00, sha 7403707423f8)
- Data as of 2026-08-30T08:39:29.467469+00:00.