Ross ROSS = Recommend OSS · open-source software intelligence for agents

napari/napari

napari: a fast, interactive, multi-dimensional image viewer for python observed · 2026-08-28

github.com/napari/napari · homepage · Python · BSD-3-Clause (permissive) observed · 2026-08-28

Health v2 · maintenance only

95/100

  • Activity 99
  • Release rhythm 87
  • Longevity 100
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: 41.0
  • age_days: 2943
  • days_rel: 8
  • days_push: 8
  • n_releases_24m: 15

Full methodology

Adoption not part of the score

2739 stars · 531 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

application · maturity active

data-visualization image-processing gui data-visualization image-processing data-science developer-tools python cross-platform image-viewer scientific-imaging numpy annotation microscopy n-dimensional-arrays desktop

3 sources

Member repositories

RepositoryRoleHealth v2
napari/naparimain95

For agents

markdown · JSON · MCP: product_card(name="napari/napari")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem