Why I use it: Full ML experimentation platform with strong production monitoring capabilities.
Why I use it: The gold standard for experiment tracking. Beautiful dashboards, sweeps, and model versioning.
Why I use it: Robust experiment tracking for large-scale ML. Great metadata management and collaboration.
Why I use it: Open-source MLOps platform. Great model registry and lifecycle management. Self-host or use Databricks.
Why I use it: Git for data and models. Essential for reproducible ML with proper version control.
Why I use it: All-in-one open-source MLOps — tracking, data management, orchestration, and serving.