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
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Self-hosted
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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, technology, maturity, licensing and features when making your decision.
Kestra significantly outpaces Dagu in community adoption with 28,126 stars compared to 3,996 stars on GitHub. This 7.0x difference suggests Kestra has a much larger and more active community. In terms of developer contributions, Kestra has 2,992 forks, indicating strong developer engagement.
Dagu is growing faster, adding 243 stars in the last 30 days (+6.5%) against adding 299 stars for Kestra (+1.1%). 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 13 hours ago.
Both tools share common technology foundations, being built with JavaScript, Bash, Typescript, JSX. However, they differ in their additional technology choices: Dagu uses CSS, Golang, Zig while Kestra leverages Python, SCSS, Vue, Java.
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.