ZenML is an extensible MLOps framework to create production-ready machine learning pipelines. Built for data scientists, it has a simple, flexible syntax, is cloud and tool agnostic, and has interfaces/abstractions that are catered towards ML workflows.

The code base was recently completely rewritten with better abstractions and to set us up for our ongoing growth and inclusion of more integrations with tools that data scientists love to use.