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Apache Airflow® is a platform created by the community to programmatically author, schedule and monitor workflows.
Install AirflowNo more command-line or XML black-magic! 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.
Monitor, schedule and manage your workflows via a robust and modern web application. No need to learn old, cron-like interfaces. You always have full insight into the status and logs of completed and ongoing tasks.
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. This makes Airflow easy to apply to current infrastructure and extend to next-gen technologies.
Anyone with Python knowledge can deploy a workflow. Apache Airflow does not limit the scope of your pipelines; you can use it to build ML models, transfer data, manage your infrastructure, and more.
Wherever you want to share your improvement you can do this by opening a PR. Its simple as that, no barriers, no prolonged procedures. Airflow has many active users who willingly share their experiences. Have any questions? Check out our buzzing slack.
We’re proud to announce the release of Apache Airflow 3.3.0! Where 3.2 brought precision to data with asset partitioning, 3.3 gives
Apr 15, 2026A question like “How does AI tool usage vary across Airflow versions?” has a natural SQL shape: one cross-tabulation, one
Apr 15, 2026The 2025 Airflow Community Survey collected responses from nearly 6,000 practitioners across 168 questions. You can open a spreadsheet and
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