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Project comparison
Swanlab vs Deepspeed
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
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
Deepspeed has the larger GitHub footprint with 42.3K stars.
Momentum
Swanlab is currently growing faster at 0 stars this week.
Maintenance
Deepspeed has the stronger health score at 63/100.
Side-by-side Metrics
| Signal | Swanlab | Deepspeed |
|---|---|---|
| GitHub stars | 3.9K | 42.3K |
| Weekly growth | 0 | 0 |
| Health score | 55 | 63 |
| Contributors | 39 | 458 |
| Commits per week | 8.3 | 6.0 |
| Open issues | 69 | 1.3K |
| Language |
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