# Apache Airflow

Open-source platform for developing, scheduling and monitoring batch workflows written as Python code.

STUB. This software has no release or pre-release in four years, or its project site no longer shows it, so it is not part of the register, not counted and not indexed. It will be checked again.

Source: https://findsoftware.frbit.cloud/airflow/
Last reviewed: 2026-10-31
Listed since: 2026-10-31

## Record

### Links

- home: https://airflow.apache.org
- repository: https://github.com/apache/airflow
- docs: https://airflow.apache.org/docs/apache-airflow/stable/index.html

### Identity

- status: stub
- maintainer: The Apache Software Foundation
- maintainerType: foundation
- parent: unknown
- firstRelease: 2015
- hqCountry: unknown

### Kind

- category: backend
- hosting: python
- language: python
- runtime: python
- runtimeMin: python 3.10
- basedOn: unknown

### Content

- contentStore: unknown
- databases: sqlite
- adminUi: yes
- headlessApi: unknown
- templating: unknown
- i18n: unknown

### Rendering and deploy

- runsAs: always-on
- renderingModes: unknown
- installMethod: pip, uv, docker, helm

### License

- licenseModel: open-source
- license: Apache-2.0

### Releases

- currentMajor: 3
- latestReleaseDate: 2026-09-17

### Adoption

- githubStargazers: 47331
- packagistDownloads: not applicable
- npmWeeklyDownloads: not applicable
- contributors: 411
- pluginCount: unknown
- packagistMonthlyDownloads: unknown
- ecosystemsMonthlyDownloads: unknown
- httpArchiveSites: unknown
- wordpressActiveInstalls: unknown
- dependentRepos: unknown
- dependentPackages: unknown

### Sources

- urls: https://airflow.apache.org/ (read 2026-10-31)
- urls: https://airflow.apache.org/docs/apache-airflow/stable/index.html (read 2026-10-31)
- urls: https://github.com/apache/airflow (read 2026-10-31)
- license: https://github.com/apache/airflow (read 2026-10-31)
- licenseModel: https://github.com/apache/airflow (read 2026-10-31)
- maintainer: https://github.com/apache/airflow/blob/3.3.2/NOTICE (read 2026-10-31)
- maintainerType: https://github.com/apache/airflow/blob/3.3.2/NOTICE (read 2026-10-31)
- category: https://airflow.apache.org/docs/apache-airflow/stable/index.html (read 2026-10-31)
- language: https://github.com/apache/airflow/blob/3.3.2/airflow-core/pyproject.toml (read 2026-10-31)
- runtime: https://airflow.apache.org/docs/apache-airflow/stable/installation/index.html (read 2026-10-31)
- runtimeMin: https://github.com/apache/airflow/blob/3.3.2/airflow-core/pyproject.toml (read 2026-10-31)
- installMethod: https://airflow.apache.org/docs/apache-airflow/stable/start.html (read 2026-10-31)
- runsAs: https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/overview.html (read 2026-10-31)
- adminUi: https://airflow.apache.org/docs/apache-airflow/stable/index.html (read 2026-10-31)
- databases: https://airflow.apache.org/docs/apache-airflow/stable/installation/index.html (read 2026-10-31)
- currentMajor: https://github.com/apache/airflow/releases (read 2026-10-31)
- latestReleaseDate: https://github.com/apache/airflow/releases (read 2026-10-31)
- firstRelease: https://github.com/apache/airflow/tags (read 2026-10-31)
- githubStargazers: https://github.com/apache/airflow (read 2026-10-31)
- contributors: https://github.com/apache/airflow (read 2026-10-31)

## Notes

Apache Airflow is an open-source platform for developing, scheduling and monitoring batch workflows, and workflows are written as Python code. A web-based UI shows, manages and debugs the workflows. The start page documents installation with pip or uv, and the installation page also names the official Docker images and a Helm chart for Kubernetes. The standalone command starts a minimal local system with an SQLite database, which the docs present as a way to try the software without production setup.

The project's public REST API requires a JWT token, and its security page documents CORS settings for requests made from browser scripts.

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Data licensed CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Attributes are recorded, never scored; absent means unknown.
Credit, in full: FindSoftware, CC BY 4.0