DLRover
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Overview
HEALTH SCORE
Fair
67out of 100
Security posture drags the score down. Maintainer coverage and development cadence help keep it from falling further.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Fair(67/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 1 day.
Bus factor
6 active maintainers currently have merge rights.
Organization Diversity
Contributors span 26 organizations.
Project Achievements
Leaderboards
About
The mission of the Project is to make the distributed training of large AI models easy, stable, fast and green through the training of deep learning models on a distributed cluster.
First commit
Software value
$5.2M
Maturity
Sandbox
Tags
distributed-training
hacktoberfest
k8s
llm-training
License(s)
Other
Data sources
Git
GitHub