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ray
ray-project/ray · Enterprise stack · Enterprise
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Verified via GitHub API
- ray
- distributed
- parallel
- machine-learning
- reinforcement-learning
- deep-learning
- python
- rllib
- hyperparameter-search
- optimization
- data-science
- hyperparameter-optimization
- serving
- deployment
- pytorch
- tensorflow
- llm-serving
- large-language-models
- llm
- llm-inference
Data from GitHub API, refreshed Oct 17, 2026
- Stars
- 44052
- Forks
- 8165
- License
- Apache-2.0
- Language
- Python
- Last commit
- Oct 17, 2026
- Latest release
- ray-2.59.0
- Release date
- Oct 2, 2026
- Contributors
- 1769
- Open issues
- 2851
ray FAQ
Is ray free?
ray is open source under the Apache-2.0 license. Hosted services and infrastructure may have separate costs.
How popular is ray?
ray has 44052 GitHub stars as of Oct 17, 2026.
Is there a hosted version of ray?
A hosted alternative for ray is unknown (—) in this data.
What does ray work with?
README-stated compatibility for ray is unknown (—).