# Apache Airflow

> Author, schedule and monitor workflows

Write data pipelines as Python DAGs and run them on a scheduler with a rich web UI.

- Source: https://github.com/apache/airflow
- Homepage: https://airflow.apache.org/
- License: Apache-2.0
- Language: Python
- Stars: 47035
- Forks: 17944
- Contributors: 4139
- Last commit: 2026-10-03
- Latest release: 3.3.2 (2026-09-17)
- Purpose: Automation, Data & analytics
- Runs on: Docker / self-host
- For: Enterprise

## Worth score: 88/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 23/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 15/15
- Readiness: 15/15

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- [Dagster](https://diggithub.com/dagster-io/dagster.md): Orchestration for data assets
- [Mage](https://diggithub.com/mage-ai/mage-ai.md): Build and run data pipelines
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- [Scrapy](https://diggithub.com/scrapy/scrapy.md): Fast, high-level web crawling framework for Python
- [VeighNa](https://diggithub.com/vnpy/vnpy.md): Python quant trading platform

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Source page: https://diggithub.com/apache/airflow
Updated: 2026-10-03