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Project comparison
Rocketride Server vs Ray
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Rocketride Server
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
2.2K
Stars
0
Weekly
75/100
Health
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
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 | Rocketride Server | Ray |
|---|---|---|
| GitHub stars | 2.2K | 42.5K |
| Weekly growth | 0 | +72 |
| Health score | 75 | 79 |
| Contributors | 33 | 1.6K |
| Commits per week | 29.9 | 87.6 |
| Open issues | 143 | 3.5K |
| Language | C++ | Python |
| License | MIT | Apache-2.0 |
| Last commit | 15h ago | 14h ago |
| Last release | client-mcp-v1.0.7 | ray-2.55.1 |
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