Apache Airflow

Airflow is a platform created by the community to programmatically author, schedule, and monitor workflows. Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity. Airflow pipelines are defined in Python, allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. Easily define your own operators and extend libraries to fit the level of abstraction that suits your environment.

Airflow pipelines are lean and explicit. Parametrization is built into its core using the powerful Jinja templating engine. Use standard Python features to create your workflows, including date-time formats for scheduling and loops to dynamically generate tasks. This allows you to maintain full flexibility when building your workflows.