Apache Airflow® provides many plug-and-play operators that are ready to execute your tasks on Google Cloud Platform, Amazon Web Services, Microsoft Azure and many other third-party …

The Docker Compose file uses the latest Airflow image (apache/airflow). If you need to install a new Python library or system library, you can customize and extend it.

Airflow has an official Helm Chart that will help you set up your own Airflow on a cloud/on-prem Kubernetes environment and leverage its scalable nature to support a large group of users.

Tutorials ¶ Once you have Airflow up and running with the Quick Start, these tutorials are a great way to get a sense for how Airflow works.

Apache Airflow® is an open-source platform for developing, scheduling, and monitoring batch-oriented workflows. Airflow’s extensible Python framework enables you to build workflows …

Here you can find detailed documentation about each one of the core concepts of Apache Airflow® and how to use them, as well as a high-level architectural overview.

This guide will help you quickly set up Apache Airflow using uv, a fast and modern tool for managing Python environments and dependencies. uv makes the installation process easy …

Note The term “DAG” comes from the mathematical concept “directed acyclic graph”, but the meaning in Airflow has evolved well beyond just the literal data structure associated with the …

Apache Airflow is one of the projects that belong to the Apache Software Foundation. It is a requirement for all ASF projects that they can be installed using official sources released via …

The Airflow UI provides a powerful way to monitor, manage, and troubleshoot your data pipelines and data assets. As of Airflow 3, the UI has been refreshed with a modern look, support for …