mlflow
MLflow: ML Lifecycle Management Platform
When to Use This Skill
Use MLflow when you need to:
- Track ML experiments with parameters, metrics, and artifacts
- Manage model registry with versioning and stage transitions
- Deploy models to various platforms (local, cloud, serving)
- Reproduce experiments with project configurations
- Compare model versions and performance metrics
- Collaborate on ML projects with team workflows
- Integrate with any ML framework (framework-agnostic)
Users: 20,000+ organizations | GitHub Stars: 23k+ | License: Apache 2.0
Installation
# Install MLflow
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