llm-d
/All repositories
Overview
HEALTH SCORE
Healthy
83out of 100
Solid maintainer coverage and security posture. Development cadence keeps the score from reaching Excellent.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Healthy(83/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 5 days.
Bus factor
145 active maintainers currently have merge rights.
Organization Diversity
Contributors span 745 organizations.
Archived repositories are excluded from Health Score.
Project Achievements
Leaderboards
About
develop a Kubernetes-native distributed inference framework that enables developers and organizations to serve large language models at scale with high performance across different hardware and cloud environments
First commit
Software value
$1.6M
Maturity
Sandbox
Tags
large-language-models
machine-learning
natural-language-processing
deep-learning
ai-research
License(s)
Apache-2.0
Other
Data sources
Git
GitHub