MLflow
Open-source platform for the complete ML lifecycle
About MLflow
MLflow is the most widely adopted open-source MLOps platform with 20K+ GitHub stars and 14M+ monthly downloads. Covers experiment tracking, model registry, project packaging, and deployment. MLflow 3 adds GenAI support. Part of Linux Foundation.
Best for
Best for teams wanting flexible, vendor-neutral experiment tracking and model management
Pros & Cons
Pros
- De facto standard for experiment tracking
- Framework-agnostic — works with any ML library
- MLflow 3 adds GenAI/LLM support
Cons
- Self-hosted requires infrastructure management
- Model serving less mature than dedicated tools
- UI can be slow with many experiments
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