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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

Tarification

Model
free
Offre Gratuite
Apache 2.0 licensed, fully open source
Paid
Managed hosting available

Fonctionnalités

  • Experiment tracking
  • Model registry
  • Model deployment
  • GenAI app support
  • AI gateway
  • Prompt registry
  • 40+ integrations
  • Model evaluation
  • Observability

Avantages

  • + Industry standard
  • + Databricks backing
  • + Extensive integrations
  • + Great for experiments
  • + Active community

Inconvénients

  • - UI can be slow
  • - Storage can grow large
  • - Complex for beginners
  • - Heavy dependencies

Idéal Pour

startup enterprise

Alternatives

mlops experiment-tracking model-registry deployment databricks