Integrations
and
ZenML
Orchestrate your ML pipelines on Airflow, without writing a single line of code. Works on any infrastructure of your choice - local, on-premises, or in the cloud.
Read the documentation

Run Pipelines in Production with Airflow

ZenML pipelines can be executed natively as Airflow DAGs. This brings together the power of the Airflow orchestration with the ML-specific benefits of ZenML pipelines. Each ZenML step can be run as an Airflow PythonOperator, and executes Airflow natively.
Learn how to run on
Apache Airflow