Ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Our verdict
A usable project with some maintenance caveats. This assessment is derived from GitHub's own repository metrics on 2026-08-30, not from hands-on testing.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. The project is written primarily in Python, released under Apache-2.0, and has 43,649 stars and 7,979 forks on GitHub. 1,708 contributors have committed to it, and the most recent push was 2026-08-29. The latest tagged release is ray-2.58.0 (2026-08-23). Figures come from the GitHub API on 2026-08-30 and are refreshed daily; the score below weighs adoption, maintenance, release discipline, contributor breadth, licence clarity and issue hygiene.
Repository
- Licence
- Apache-2.0
- Language
- Python
- Last push
- 2026-08-29
Releases
-
ray-2.58.0Ray-2.58.0 -
ray-2.57.0Ray-2.57.0 -
ray-2.56.1Ray-2.56.1 -
ray-2.56.0Ray-2.56.0 -
ray-2.55.1Ray-2.55.1 -
ray-2.55.0Ray-2.55.0
Pros and cons
Pros
Cons
Pricing
- Free tierYes
- LicenceApache-2.0
- Self-hostYes, source is public
- Public price listNot published
Ray does not publish a web price list. For consumer apps that usually means pricing appears inside the product; for enterprise tools it means talking to sales. Why we do this
Visit ray.ioTrends
Price points are recorded when a price moves, not on a schedule, so a flat run means the price held. Release cadence comes from GitHub releases. A series appears only once we have watched it for long enough to have more than one observation.
User reviews
No one has reviewed Ray here yet. Reviews are moderated before they appear, and our own score is editorial and separate from user ratings, though once reviews land they do lift it.
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Side by side
| Tool | Our score | From | Free tier | Best for | |
|---|---|---|---|---|---|
| Ray this page | 7.2 | - | Yes | ||
| Daytona | 6.2 | - | Yes | ||
| Anyscale | 5.5 | $3 | Yes | ||
| Cerebrium | 5.4 | $0.00 | Yes | ||
| Artificial Analysis | 5.3 | - | - | ||
| gpt_academic | 5.0 | - | Yes | ||
| Cerebras | 4.9 | - | Yes |
Questions
Is ray free?
Yes. ray advertises a free tier on its own site.
How much does ray cost?
ray does not publish a web price list. For consumer apps that usually means pricing appears inside the product; for enterprise tools it means talking to sales.
Is ray open source?
Yes. ray is a public repository released under Apache-2.0. You can self-host or inspect the source directly.
How is ray scored here?
ray scores 7.2 out of 10. That comes from a desk review of public evidence, which is capped at 8.5 out of 10: public pricing, documentation, maintenance signals and how much we could actually verify. Affiliate relationships are excluded from scoring entirely. The full rubric is published on our methodology page.