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apache / airflow

Define, schedule and monitor multi-step data workflows in code.

Repository stars
47,350All-time #564
Fork
18,298
Last push
updated 3 days ago
Repository created
since 2015
Workflows & automationData synchronizationPythonApache-2.0 · Permissive
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About

Summarised by AI from the README; the original prevails

Deploy the scheduler and workers, define DAGs and monitor runs in the interface.

Use cases:For scheduling code-defined data tasks with explicit dependencies. Selection note: The runtime requires maintenance, and workflow design must handle task failures.

Deployment:Deploy the scheduler and workers, define DAGs and monitor runs in the interface.

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Pricing not verifiedCheck hosted-service, model and infrastructure costs for the option you choose.

Star trend

Includes values estimated from GitHub history
47,04747,19947,35010-0710-1210-1710-2210-2711-0111-05

First collected 2026-11-02Measured at 2026-11-02 18:45 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository Stars, not unique users · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.