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Project comparison
Evidently vs MLflow
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.
Best matched with other platform tools.
7.5K
Stars
0
Weekly
37/100
Health
MLflow
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Best matched with other platform tools.
25.9K
Stars
+129
Weekly
83/100
Health
Quick Take
Adoption
MLflow has the larger GitHub footprint with 25.9K stars.
Momentum
MLflow is currently growing faster at +129 stars this week.
Maintenance
MLflow has the stronger automated maintenance signal at 83/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Evidently | MLflow |
|---|---|---|
| Evidence status | Basic listing· 2d ago | Basic listing· 2d ago |
| GitHub stars | 7.5K | 25.9K |
| Weekly growth | 0 | +129 |
| Health score | Caution37/100 |
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