
Apache Airflow
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 services.
Tutorials — Airflow 3.1.1 Documentation - Apache Airflow
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.
Installation from PyPI — Airflow 3.1.1 Documentation - Apache Airflow
This will bring apache-airflow and all providers to the versions that were released and tested together when the version of Airflow you are installing was released.
Apache Airflow 2.10.0 is here
Aug 8, 2024 · Traditionally, an Airflow environment is limited to a single executor, requiring users to make trade-offs, as no single executor is perfectly suited for all types of tasks. We are introducing a …
What is Airflow®? — Airflow 3.1.0 Documentation - Apache Airflow
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 connecting with …
Installation of Airflow® — Airflow 3.1.0 Documentation - Apache Airflow
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 Official Apache …
Quick Start — Airflow 3.1.0 Documentation - Apache Airflow
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 and provides a …
Core Concepts — Airflow 3.1.1 Documentation - Apache Airflow
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.
Documentation - Apache Airflow
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.
Use Cases - Apache Airflow
Apache Airflow® allows you to define almost any workflow in Python code, no matter how complex. Because of its versatility, Airflow is used by companies all over the world for a variety of use cases.