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

Visitar Sitio Web → Ver Documentación GitHub

Precios

Model

free

Plan Gratuito

Apache 2.0 licensed, fully open source

Paid

Managed hosting available

Características

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

Ventajas

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

Desventajas

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

Mejor Para

startup enterprise

Alternativas

bentoml

mlops experiment-tracking model-registry deployment databricks