MLflow
Open-source platform for the ML lifecycle
MLOps & MonitoringFree (open-source)★ 19,000
About MLflow
MLflow is an open-source platform for managing the complete machine learning lifecycle. It handles experiment tracking, model packaging, deployment, and registry — and integrates with every major ML framework.
Features
Experiment tracking
Model registry
Deployment
Projects
Recipes
The tally
FOR
- +Complete ML lifecycle management
- +Framework-agnostic
- +Strong model registry
- +Apache open-source license
- +Databricks integration
AGAINST
- −UI is dated
- −Setup can be complex
- −Limited real-time monitoring
- −Less polished than W&B
Related concepts
Kept nearby
Weights & Biases
ML experiment tracking, model management and monitoring
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