apache / airflow
Define, schedule and monitor multi-step data workflows in code.
Purpose and fit
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. Source ↗
Deployment：Deploy the scheduler and workers, define DAGs and monitor runs in the interface.
- Browse by purpose
- Workflow automation · Continuous delivery
- Platform
- Not verified
- Pricing
- Pricing not verifiedCheck hosted-service, model and infrastructure costs for the option you choose.
Star trend (estimated)
Includes estimates from GitHub star history, excluded from net-growth rankings. Removed stars are absent and day boundaries are not guaranteed UTC; estimates are not historical end-of-day net totals.Repository info
Repository Stars, not unique users
- Subcategory
- Data synchronization
- Platform
- Not verified
- First collected
- 2026-11-02
- Language
- Python
- License
- Apache-2.0 · Permissive
- Repository created
- 2015-04-13
- Last push
- 2026-11-02
- Measured at
- 2026-11-02 18:45 UTC
- Pricing
- Pricing not verified
- Cost details
- Check hosted-service, model and infrastructure costs for the option you choose.
- Maintenance notes
- Unknown
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.
Tags
Historical observations
Raw observations below are not daily gains.
| Measured at | stars | Source |
|---|---|---|
| 2026-11-02 18:45:00 UTC | 47,350 | Source |
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