Cellpose
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Overview
HEALTH SCORE
Healthy*
Partial score (2/3 categories)
53out of 65
Solid maintainer coverage. Development cadence keeps the score from reaching Excellent. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Healthy*(53/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 4 days.
Bus factor
3 active maintainers currently have merge rights.
Organization Diversity
Contributors span 69 organizations.
Project Achievements
Leaderboards
About
Cellpose is an open-source deep learning-based algorithm and software tool for cell segmentation in microscopy images. It provides automated detection and segmentation of cells across various types of images and experimental conditions, with support for both 2D and 3D data.
First commit
Software value
$778K
Tags
cell-biology
cell-segmentation
segmentation
License(s)
BSD-3-Clause
Data sources
Git
GitHub