Overview
MLflow — Open-source ML lifecycle management
MLflow is an open-source platform for managing the complete machine learning lifecycle, including experiment tracking, model packaging, model registry, and deployment. Originally developed at Databricks, it's now the most widely used open-source MLOps tool.
Experiment tracking
Model packaging (MLflow Projects)
Model registry
Model serving
Features & capabilities
Everything it does, in plain English.
The honest take
Where it shines, where it stumbles.
✓ Pros
- ✓Completely free and open source
- ✓Wide framework support
- ✓Easy to get started
- ✓Large community
! Watch-outs
- !UI less polished than W&B
- !Scaling self-hosted requires work
- !Less built-in visualization
Who it's for
Where MLflow pays for itself fast.
ML experiment management
Model versioning and registry
ML model deployment
Team ML collaboration
Model lineage tracking
Community reviews
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