via “model registry with versioning and stage transitions”
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Unique: Integrates model versioning with run lineage tracking, allowing models to be traced back to exact training runs and datasets. Stage-based workflow model (Staging/Production/Archived) is simpler than semantic versioning but sufficient for most deployment scenarios. Supports both SQL and file-based backends with REST API for remote access.
vs others: More integrated with experiment tracking than standalone model registries (Seldon, KServe), and simpler governance model than enterprise registries (Domino, Verta) while remaining open-source