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description=Platform created by the community to programmatically author, schedule and monitor workflows.;

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apache airflow skip to main content airflow summit 2026 is coming august 31 september 2 in austin tx register now to secure your spot community meetups documentation registry use cases announcements blog airflow survey 2025 ecosystem community meetups documentation registry use cases announcements blog airflow survey 2025 ecosystem apache airflow apache airflow is a platform created by the community to programmatically author schedule and monitor workflows install airflow principles scalable apache airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers airflow is ready to scale to infinity dynamic apache airflow pipelines are defined in python allowing for dynamic pipeline generation this allows for writing code that instantiates pipelines dynamically extensible easily define your own operators and extend libraries to fit the level of abstraction that suits your environment elegant apache airflow pipelines are lean and explicit parametrization is built into its core using the powerful jinja templating engine features pure python no 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 useful ui 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 robust integrations 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 easy to use 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 open source wherever you want to share your improvement you can do this by opening a pr it s 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 integrations search integrations loading show more from the blog jul 6 2026 apache airflow 3 3 0 stateful tasks and multi language support 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 2026 agentic workloads on airflow observable retryable and auditable by design a question like how does ai tool usage vary across airflow versions has a natural sql shape one cross tabulation one apr 15 2026 ask your survey anything building ai analysis pipelines with airflow 3 the 2025 airflow community survey collected responses from nearly 6 000 practitioners across 168 questions you can open a spreadsheet and visit the blog suggest a change on this page want to be a part of apache airflow join community the apache software foundation 2026 license donate events thanks security privacy code of conduct english apache airflow apache airflow the airflow logo and the apache logo are either registered trademarks or trademarks of the apache software foundation all other products or name brands are trademarks of their respective holders including the apache software foundation