airflow-provider-flyte package provides an operator, a sensor, and a hook that integrates Flyte into Apache Airflow.
FlyteOperator is helpful to trigger a task/workflow in Flyte and
FlyteSensor enables monitoring a Flyte execution status for completion.
The primary use case of this provider is to scale Airflow for machine learning tasks using Flyte. With the Flyte Airflow provider, you can construct your ETL pipelines in Airflow and machine learning pipelines in Flyte and use the provider to trigger machine learning or Flyte pipelines from within Airflow.
pip install airflow-provider-flyte
All the configuration options for the provider are available in the provider repo’s README.
An article on how to use the Flyte Airflow provider to trigger Flyte tasks from within Airflow.