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Project comparison
MLflow vs Made With ML
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
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.
25.9K
Stars
+129
Weekly
88/100
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
MLflow is currently growing faster at +129 stars this week.
Maintenance
MLflow has the stronger health score at 88/100.
Side-by-side Metrics
| Signal | MLflow | Made With ML |
|---|---|---|
| GitHub stars | 25.9K | 47.6K |
| Weekly growth | +129 | 0 |
| Health score | 88 | 36 |
| Contributors | 1.0K | 1 |
| Commits per week | 112.2 | 0.1 |
| Open issues | 2.1K | 25 |
| Language | Python | Jupyter Notebook |
| License | Apache-2.0 | MIT |
| Last commit | 15h ago | 2mo ago |
| Last release | v3.12.0 | v1.1.0 |
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