Overview
MLflow — Open-source platform for the machine learning lifecycle
MLflow is an open-source platform for managing the complete ML lifecycle — experiment tracking, model registry, and model serving. Developed by Databricks and now widely adopted, it's a lightweight, self-hosted alternative to commercial MLOps platforms with broad framework integration.
Experiment tracking
Model registry
Model serving
Project packaging
Features & capabilities
Everything it does, in plain English.
The honest take
Where it shines, where it stumbles.
✓ Pros
- ✓Free and open-source
- ✓Works with any ML framework
- ✓Self-hostable
! Watch-outs
- !UI less polished than W&B
- !Requires setup and maintenance
Who it's for
Where MLflow pays for itself fast.
Experiment tracking
Model versioning
ML deployment
Team ML workflows
Community reviews
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