Ray
/All repositories
Overview
HEALTH SCORE
Healthy
70out of 100
Solid maintainer coverage and development cadence. Security posture keeps the score from reaching Excellent.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Healthy(70/100)
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
213 active maintainers currently have merge rights.
Organization Diversity
Contributors span 1141 organizations.
Project Achievements
Leaderboards
About
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
First commit
Software value
$56M
Tags
data-science
deep-learning
deployment
distributed
hyperparameter-optimization
hyperparameter-search
large-language-models
llm
llm-inference
llm-serving
machine-learning
optimization
parallel
python
pytorch
ray
reinforcement-learning
rllib
serving
tensorflow
License(s)
Apache-2.0
Data sources
Git
GitHub