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Apache Airflow vs Dagu

Learn how Apache Airflow and Dagu differ in their key features, development activity, technology stack and community adoption, so you can decide which of these workflow orchestration tools is best for you.

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Apache Airflow

Python-based workflow orchestration platform for scheduling, monitoring, and managing data pipelines at any scale.
47,279stars+293(+0.6%)

Last 30 days

Screenshot of Apache Airflow

Dagu

Single-binary workflow orchestrator that runs scheduled DAGs locally or over SSH, with retries, human tasks, a built-in Web UI, and file-based state storage.
4,445stars+320(+7.8%)

Last 30 days

Screenshot of Dagu

Detailed Comparison

Both Apache Airflow and Dagu have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.

Apache Airflow wins
Community & Popularity

Apache Airflow significantly outpaces Dagu in community adoption with 47,279 stars compared to 4,445 stars on GitHub. This 10.6x difference suggests Apache Airflow has a much larger and more active community. In terms of developer contributions, Apache Airflow has 18,151 forks, indicating strong developer engagement.

Dagu wins
Growth Momentum

Dagu is growing faster, adding 320 stars in the last 30 days (+7.8%) against adding 293 stars for Apache Airflow (+0.6%). Dagu is the smaller project of the two, so it is closing the gap rather than extending a lead.

Comparable
Development Activity

Both projects show recent activity, with Apache Airflow last updated 7 hours ago and Dagu 7 hours ago.

Apache Airflow wins
Project Maturity

Apache Airflow has been in development longer, starting 12 years ago, compared to Dagu which began 5 years ago. This 7.1-year head start suggests Apache Airflow may have more mature features and established processes.

Comparable
Licensing

The projects use different licenses: Apache Airflow is licensed under Apache-2.0 while Dagu uses GPL-3.0. Consider the licensing requirements when choosing for your project.

Comparable
Use Cases & Features

Both tools serve similar use cases in Workflow Orchestration.

Comparable
Hosting & Deployment

Both Apache Airflow and Dagu offer self-hosting capabilities, giving you full control over your data and infrastructure.