MLflow
Open-source platform for the ML lifecycle
⭐19,000
MLOpsFree (open-source)
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
Pros & Cons
Pros
- +Complete ML lifecycle management
- +Framework-agnostic
- +Strong model registry
- +Apache open-source license
- +Databricks integration
Cons
- −UI is dated
- −Setup can be complex
- −Limited real-time monitoring
- −Less polished than W&B
Platforms
LinuxmacOSWindows
Tags
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