Apache Airflow

Apache Airflow is a platform for authoring, scheduling and monitoring workflows using Python code. Developers use it to define data pipelines and other automated processes programmatically rather than through command-line or configuration files. Pipelines are written as Python code, which allows for dynamic generation and the use of standard Python features like loops and datetime handling. The platform provides a web interface for monitoring and managing workflows, showing the status and logs of tasks as they run.

Apache Airflow has a modular architecture designed to scale to handle many workers through a message queue. It includes built-in operators for integrating with cloud platforms and third-party services, and developers can create custom operators to extend its functionality. The tool is developed by Apache and is open source, allowing anyone to contribute improvements. It is designed to work with any infrastructure and supports a wide range of use cases beyond data pipelines.