Deep Java Library (DJL)

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Overview

HEALTH SCORE

Fair

64out of 100

Development cadence drags the score down. Maintainer coverage and security posture help keep it from falling further.

LIFECYCLE

Active

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

Display your project Health score on your GitHub page.

Health breakdown

Fair(64/100)

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

Maintainer responsiveness

Median response time is 75 days, but most repositories have response times over 90 days.

Bus factor

13 active maintainers currently have merge rights.

Organization Diversity

Contributors span 68 organizations.

Project Achievements

Leaderboards

About

Deep Java Library (DJL) is an open-source deep learning framework for Java developers that enables training, testing, and deploying deep learning models in Java applications. It provides a unified API that works with multiple deep learning engines and simplifies the process of integrating AI/ML capabilities into Java-based systems.

First commit

April 2019

Software value

$18M