napari

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Overview

HEALTH SCORE

Excellent

86out of 100

Strong maintainer coverage and development cadence. Security posture is the only remaining gap.

LIFECYCLE

Active

Consistent commits, responsive maintainers, regular releases, and healthy issue triage.

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Health breakdown

Excellent(86/100)

Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.

Maintainer responsiveness

Median response time is 0 days.

Bus factor

28 active maintainers currently have merge rights.

Organization Diversity

Contributors span 119 organizations.

Project Achievements

Leaderboards

About

napari is a multi-dimensional image viewer for Python that supports large, complex datasets. It provides a fast, interactive interface for visualizing and analyzing scientific imaging data, with support for various file formats, plugins, and integration with popular scientific Python libraries.

First commit

August 2018

Software value

$5.4M