apache /airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

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PythonApache-2.0Created 2015-04-13airflow.apache.org/
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README

Apache Airflow

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Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows.

When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.

Use Airflow to author workflows (Dags) that orchestrate tasks. The Airflow scheduler executes your tasks on an array of workers while f

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Latest release

Apache Airflow 3.4.0 3.4.0 2026-11-06
📦 PyPI: https://pypi.org/project/apache-airflow/3.4.0/
📚 Docs: https://airflow.apache.org/docs/apache-airflow/3.4.0/
🛠 Release Notes: https://airflow.apache.org/docs/apache-airflow/3.4.0/release_notes.html
🐳 Docker Image: "docker pull apache/airflow:3.4.0"
🚏 Constraints: https://github.com/apache/airflow/tree/constraints-3.4.0

 Significant Changes

 Task Loops (73005, 74222, 74275, 74345)


Airflow 3.4.0 introduces Task Loops (AIP-111): a decorated task group can be repeated a number of
times decided at runtime using .loop(). A conditional loop works like a do ... while loop -
th

Snapshot: 2026-11-10T09:35:25Z · Data license Apache-2.0 · JSON