π‘ Pick it for a flexible, open-source model registry instead of SAS-centered lifecycle management.
MLflow is an open-source platform to manage the end-to-end machine learning lifecycle. It includes tracking, packaging, and deploying models.
Pros
- Comprehensive ML lifecycle management
- Integration with popular ML frameworks
Cons
- Less emphasis on reproducibility compared to Syberia
- Limited deployment options