MLFlow in general focuses more exclusively on the "lineage tracking" pieces alone. I.e. registering your models and such. They do have an experimental pipeline product as you mention, but it's different in a number of ways. I'd say the biggest one is that MLFlow pipelines has fixed, pre-determined structures for your pipelines while Sematic lets you build your own. We also have a more python-dev-friendly API and better access to cloud computing resources. You can find more details on our comparison page: https://docs.sematic.dev/sematic-vs#...-mlflow-pipelines
As a husband & father, forcing myself to do some core household activities every day keeps me away from the Internet.
Every weekend, cooking is my responsibility and every day I make sure to walk with my toddler outside the home WITHOUT a phone.
