← Back to Leaderboard
Project comparison
Evidently vs Deepspeed
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
7.5K
Stars
0
Weekly
39/100
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
Evidently is currently growing faster at 0 stars this week.
Maintenance
Deepspeed has the stronger health score at 63/100.
Side-by-side Metrics
| Signal | Evidently | Deepspeed |
|---|---|---|
| GitHub stars | 7.5K | 42.3K |
| Weekly growth | 0 | 0 |
| Health score | 39 | 63 |
| Contributors | 97 | 458 |
| Commits per week | 1.2 | 6.0 |
| Open issues | 272 | 1.3K |
| Language | Jupyter Notebook | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last commit | 10d ago | 19h ago |
| Last release | v0.7.21 | v0.19.0 |
Weekly AI open-source movers
Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.