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Project comparison
Swanlab vs Ray
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Swanlab
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
3.9K
Stars
0
Weekly
55/100
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 | Swanlab | Ray |
|---|---|---|
| GitHub stars | 3.9K | 42.5K |
| Weekly growth | 0 | +72 |
| Health score | 55 | 79 |
| Contributors | 39 | 1.6K |
| Commits per week | 8.3 | 87.6 |
| Open issues | 69 | 3.5K |
| Language |
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