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Project comparison
Evidently vs Made With ML
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
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
Evidently is currently growing faster at 0 stars this week.
Maintenance
Evidently has the stronger health score at 39/100.
Side-by-side Metrics
| Signal | Evidently | Made With ML |
|---|---|---|
| GitHub stars | 7.5K | 47.6K |
| Weekly growth | 0 | 0 |
| Health score | 39 | 36 |
| Contributors | 97 | 1 |
| Commits per week | 1.2 | 0.1 |
| Open issues | 272 | 25 |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | Apache-2.0 | MIT |
| Last commit | 10d ago | 2mo ago |
| Last release | v0.7.21 | v1.1.0 |
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