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.
Last 30 days
Last commit
7 hours agoRepository age
12 yearsVersion
3.3.2License
Apache-2.0Self-hosted
YesRepository
apache/airflow
Last 30 days
Last commit
7 hours agoRepository age
5 yearsVersion
v2.22.4License
GPL-3.0Self-hosted
YesRepository
dagucloud/dagu
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 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 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.
Both projects show recent activity, with Apache Airflow last updated 7 hours ago and Dagu 7 hours ago.
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.
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.
Both tools serve similar use cases in Workflow Orchestration.
Both Apache Airflow and Dagu offer self-hosting capabilities, giving you full control over your data and infrastructure.