Learn how Dagu and Kestra 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
Repository age
Version
License
Self-hosted
Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Both Dagu and Kestra 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.
Kestra significantly outpaces Dagu in community adoption with 27,928 stars compared to 3,807 stars on GitHub. This 7.3x difference suggests Kestra has a much larger and more active community. In terms of developer contributions, Kestra has 2,943 forks, indicating strong developer engagement.
Dagu is growing faster, adding 77 stars in the last 30 days (+2.1%) against adding 445 stars for Kestra (+1.6%). 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 Dagu last updated 12 hours ago and Kestra 10 hours ago.
Kestra has been in development longer, starting 7 years ago, compared to Dagu which began 4 years ago. This 2.7-year head start suggests Kestra may have more mature features and established processes.
The projects use different licenses: Dagu is licensed under GPL-3.0 while Kestra uses Apache-2.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Workflow Orchestration. However, they also have distinct specializations: Kestra extends into ETL & Data Integration.
Both Dagu and Kestra offer self-hosting capabilities, giving you full control over your data and infrastructure.