Orchestrating a workflow, which is what Dagster does, is just one part of Metaflow. Other important parts are dependency management, cloud integration, state transfer, inspecting and organizing results - features that are central to data science workflows.

Metaflow helps data scientists build and manage data science workflows, not just execute a DAG.