Data Detective Airflow is a framework whose main idea is to add the concepts of work and result to Apache Airflow. It supports tasks testing over Apache Airflow. Data Detective Airflow allows developers to create workflows in the form of directed acyclic graphs (DAGs) of tasks. The easy-to-use Data Detective Airflow scheduler makes it possible to run tasks and save results into works. Work storage support for s3, ftp, local disk and database is also included.
More information about Data Detective Airflow
Install from PyPi
pip install data-detective-airflowSee example DAG-s in dags/dags folder.