ZenML is an extensible, open-source 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. At its core, ZenML pipelines execute ML-specific workflows from sourcing data to splitting, preprocessing, training, all the way to the evaluation of results and even serving. There are many built-in batteries to support common ML development tasks. ZenML is not here to replace the great tools that solve these individual problems. Rather, it integrates natively with popular ML tooling and gives standard abstraction to write your workflows.