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Project comparison
Deepspeed vs Made With ML
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
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
Made With ML
Learn how to develop, deploy and iterate on production-grade ML applications.
47.6K
Stars
0
Weekly
36/100
Health
Quick Take
Adoption
Made With ML has the larger GitHub footprint with 47.6K stars.
Momentum
Deepspeed is currently growing faster at 0 stars this week.
Maintenance
Deepspeed has the stronger health score at 63/100.
Side-by-side Metrics
| Signal | Deepspeed | Made With ML |
|---|---|---|
| GitHub stars | 42.3K | 47.6K |
| Weekly growth | 0 | 0 |
| Health score | 63 | 36 |
| Contributors | 458 | 1 |
| Commits per week | 6.0 | 0.1 |
| Open issues | 1.3K | 25 |
| Language | Python | Jupyter Notebook |
| License | Apache-2.0 | MIT |
| Last commit | 19h ago | 2mo ago |
| Last release | v0.19.0 | v1.1.0 |
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