So, we've already got a model registry: MLFlow

And we've got a serving framework we really like: BentoML and FastAPI

The debate is between ClearML and Metaflow for

• training models during the research phase
• re-training models on a schedule or event-based trigger in production
• running batch inference jobs on a schedule or event-based trigger in production