MLflow
Open-Source ML Platform
Category
Research
Pricing
Free
Rating
⭐ 4.5/5
Overview
MLflow is an open-source platform for managing the complete machine learning lifecycle. Track experiments, package models, and deploy with a unified interface.
Key Features
- Experiment tracking
- Model registry
- Model serving
- Project management
- Reproducibility tools
- Integrations with frameworks
Use Cases
- ML experiment tracking
- Model versioning
- Model deployment
- Reproducible research
- ML lifecycle management
Pros
- Free and open source
- Comprehensive features
- Framework agnostic
- Active community
- Self-hostable
Cons
- Requires setup and maintenance
- Less polished UI than alternatives
- Self-hosting overhead
- Learning curve
Pricing
Completely free and open source (Apache 2.0 license). Optional MLflow Cloud for managed service.