Ray Serve
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Ray Serve scores 8.3/10 (Strong) in Inference & Serving.
Language Python License Apache-2.0 Stars 43.1k★ Type library Self-host Yes Repo ray-project/ray Homepage https://docs.ray.io/en/latest/serve/index.html
Quality
Strong 8.3
Adoption 66
Activity 97
Maturity 100
Community 73
Capability 50
Show the math
Overall 8.3/10
value = 8.3/10
score = value
Adoption 6.9/10
value = 65.9/100
score = 1 + 9 * value / 100
Activity 9.7/10
value = 96.8/100
score = 1 + 9 * value / 100
Maturity 10/10
value = 100/100
score = 1 + 9 * value / 100
Community 7.6/10
value = 72.9/100
score = 1 + 9 * value / 100
Capability 5.5/10
value = 50/100
score = 1 + 9 * value / 100
Key metrics
43.1k★ GitHub stars
1.1k/90d Recent commits
47 devs/90d Recent contributors
9.7y Project age
active Last commit
Gotchas
No gotchas documented yet. Contribute one if you know a constraint we missed.
Labels
- Self-hosted
Self-hosted
You deploy and operate it yourself; there is no hosted option here.
distributed scaling pipelines python serving