DeepLabCut

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Overview

HEALTH SCORE

Excellent*

Partial score (2/3 categories)

59out of 65

Strong maintainer coverage. Development cadence is the only remaining gap. Security & Supply Chain is unavailable, so weights were redistributed.

LIFECYCLE

Active

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

Display your project Health score on your GitHub page.

Health breakdown

Excellent*(59/65)

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

Maintainer responsiveness

Median response time is 1 day.

Bus factor

9 active maintainers currently have merge rights.

Organization Diversity

Contributors span 64 organizations.

Project Achievements

Leaderboards

About

DeepLabCut is an open-source toolbox for markerless pose estimation of animals performing various behaviors using deep learning. It implements a transfer learning approach to adapt deep neural networks pre-trained on human pose estimation to animal pose tracking with minimal training data.

First commit

April 2018

Software value

$3.9M