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Dagu vs Kestra

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.

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Favicon of Dagu

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.
3,807stars+77(+2.1%)

Last 30 days

Sponsor Dagu ongithub.com
Screenshot of Dagu
Favicon of Kestra

Kestra

YAML-based orchestration platform with 1400+ plugins for running data pipelines, AI workflows, and infrastructure automation across teams at scale.
27,928stars+445(+1.6%)

Last 30 days

Screenshot of Kestra

Detailed Comparison

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 wins
Community & Popularity

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 wins
Growth Momentum

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.

Comparable
Development Activity

Both projects show recent activity, with Dagu last updated 12 hours ago and Kestra 10 hours ago.

Kestra wins
Project Maturity

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.

Comparable
Licensing

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.

Comparable
Use Cases & Features

Both tools serve similar use cases in Workflow Orchestration. However, they also have distinct specializations: Kestra extends into ETL & Data Integration.

Comparable
Hosting & Deployment

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

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