← Back to Leaderboard
Project comparison
Ray vs Deepspeed
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
42.5K
Stars
+72
Weekly
79/100
Health
Deepspeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
42.3K
Stars
0
Weekly
63/100
Health
Quick Take
Adoption
Ray has the larger GitHub footprint with 42.5K stars.
Momentum
Ray is currently growing faster at +72 stars this week.
Maintenance
Ray has the stronger health score at 79/100.
Side-by-side Metrics
| Signal | Ray | Deepspeed |
|---|---|---|
| GitHub stars | 42.5K | 42.3K |
| Weekly growth | +72 | 0 |
| Health score | 79 | 63 |
| Contributors | 1.6K | 458 |
| Commits per week | 87.6 | 6.0 |
| Open issues | 3.5K | 1.3K |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last commit | 14h ago | 19h ago |
| Last release | ray-2.55.1 | v0.19.0 |
Weekly AI open-source movers
Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.