ray-project/ray
ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
42/100Infra
Stars42,595
Forks7,591
LanguagePython
LicenseApache-2.0
Overview
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Best for
- Evaluating ray for Python AI workflows.
- Comparing a GitHub project with 42,595 stars and current repository activity.
Pros
- ray has visible GitHub traction with 42,595 stars. Topics: data-science, deep-learning, deployment.
- The project provides an external homepage for deeper evaluation.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the Apache-2.0 terms fit your use case.
Production readiness
ray should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
Apache-2.0 is reported by GitHub; review the repository license before redistribution or commercial use.
Install
git clone https://github.com/ray-project/ray.git