MLflow

Open source platform for the ML lifecycle

ML Lifecycle PlatformFree (open-source)

Quick Facts

Category
ML Lifecycle Platform
Pricing
Free (open-source), managed options available
Integrations
6+ apps
Best For
Teams wanting open-source flexibility with strong community support

About MLflow

MLflow is the most popular open-source platform for managing the end-to-end machine learning lifecycle. Created by Databricks, it handles experiment tracking, model packaging, deployment, and registry. Self-host or use managed offerings.

AI & Automation Readiness

How well does MLflow work with AI agents and automation?

Automation Score1/5
API Available
Webhooks/Automation
Rich Integration Ecosystem
AI-Native Features

Key Features

Experiment tracking
Model packaging (MLflow Models)
Model registry
Project reproducibility
Multi-framework support

Integrations

MLflow connects with 6+ apps and services.

DatabricksAWS SageMakerAzure MLSparkPyTorchTensorFlow

Ready to get started with MLflow?

Visit their website to learn more and sign up, or add it to your stack for comparison.