MLflow
The open source platform for the ML lifecycle
Deliver production-ready AI. The open source developer platform to build AI applications and models with confidence, featuring experiment tracking and model deployment.
18K
GitHub Stars
none
TypeScript
medium
Learning Curve
4.2
DX Score
Pricing
Model
free
Free Tier
Apache 2.0 licensed, fully open source
Paid
Managed hosting available
Features
- ✓ Experiment tracking
- ✓ Model registry
- ✓ Model deployment
- ✓ GenAI app support
- ✓ AI gateway
- ✓ Prompt registry
- ✓ 40+ integrations
- ✓ Model evaluation
- ✓ Observability
Pros
- + Industry standard
- + Databricks backing
- + Extensive integrations
- + Great for experiments
- + Active community
Cons
- - UI can be slow
- - Storage can grow large
- - Complex for beginners
- - Heavy dependencies
Best For
startup enterprise
Alternatives
mlops experiment-tracking model-registry deployment databricks