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

Website besuchen → Dokumentation anzeigen GitHub

Preise

Model

free

Kostenlose Stufe

Apache 2.0 licensed, fully open source

Paid

Managed hosting available

Funktionen

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

Vorteile

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

Nachteile

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

Am besten für

startup enterprise

Alternativen

bentoml

mlops experiment-tracking model-registry deployment databricks