# stardist/stardist

StarDist - Object Detection with Star-convex Shapes

Repository: https://github.com/stardist/stardist
Canonical: https://ross.abutalabs.com/products/stardist
Language: Python
License: BSD-3-Clause
License Family: permissive
Topics: bioimage-analysis, cell-segmentation, nuclei-segmentation, object-detection, deep-learning, python
Last push: 2026-02-14T16:16:18+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 67, release rhythm 29, longevity 100
- inputs: {"age_days": 2990, "days_push": 200, "days_rel": 261, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1255, forks 281 (observed 2026-08-28T04:04:08.953099+00:00)

## What it is
StarDist is a Python library for object detection and instance segmentation in 2D and 3D microscopy images using star-convex shapes, built on deep learning. It is widely used for cell and nuclei segmentation in bioimage analysis.

## Use cases
- segment nuclei in fluorescence microscopy images
- detect and segment cells in 3D microscopy volumes
- instance segmentation of cells in histopathology images
- train a deep learning model for object detection in bioimages
- count cells automatically in microscopy data
- segment star-convex shaped objects in 2D images

## When to choose
- you need accurate cell or nuclei segmentation in microscopy images
- you work with 2D or 3D bioimage data and want a proven deep learning segmentation method
- objects in your images are roughly star-convex (roundish) shapes
- you want a Python library that integrates with the scientific Python ecosystem

## When to avoid
- your objects have highly non-convex, branching shapes better suited to other segmentation methods
- you need general-purpose object detection in natural photos rather than microscopy
- you cannot use GPU-accelerated deep learning frameworks

## Facets
- artifact type: library
- maturity: stable
- function: machine-learning, deep-learning, image-processing, computer-vision
- domain: bioinformatics, computer-vision, machine-learning, healthcare
- platform: python, cross-platform
- tags: cell-segmentation, nuclei-segmentation, bioimage-analysis, object-detection, microscopy, instance-segmentation, star-convex

## Member repositories
- stardist/stardist (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:08.953099+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 2026-08-30T05:07:21.546977+00:00, confidence not recorded.
  - readme: https://github.com/stardist/stardist (fetched 2026-08-28T04:04:08.953099+00:00, sha 42c68a0151f0)
  - registry_pypi: https://pypi.org/pypi/stardist/json (fetched 2026-08-29T12:17:56.956420+00:00, sha 755cbd977335)
- Data as of 2026-08-30T08:39:29.467469+00:00.