Learn how Dagu and Mage 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
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Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Both Dagu and Mage 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.
Mage leads in popularity with 8,825 stars vs 3,996 stars for Dagu. The 121% higher star count indicates stronger community adoption. In terms of developer contributions, Mage has 990 forks, indicating moderate developer engagement.
Dagu is growing faster, adding 243 stars in the last 30 days (+6.5%) against adding 25 stars for Mage (+0.3%). 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 Mage 4 days ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Dagu uses Golang, Zig while Mage leverages Python, Next.js, SCSS, R.
Both projects started around the same time, with Dagu beginning 4 years ago and Mage 4 years ago.
The projects use different licenses: Dagu is licensed under GPL-3.0 while Mage 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: Mage extends into ETL & Data Integration.
Both Dagu and Mage offer self-hosting capabilities, giving you full control over your data and infrastructure.