Learn how Automa and Hatchet differ in their key features, development activity, technology stack and community adoption, so you can decide which of these workflow automation tools is best for you.

Hatchet appears to have several advantages over Automa, particularly in growth, activity, licensing and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Automa leads in popularity with 21,569 stars vs 7,724 stars for Hatchet. The 179% higher star count indicates stronger community adoption. In terms of developer contributions, Automa has 2,334 forks, indicating strong developer engagement.
Hatchet is growing faster, adding 211 stars in the last 30 days (+2.8%) against adding 88 stars for Automa (+0.4%). Hatchet is the smaller project of the two, so it is closing the gap rather than extending a lead.
Hatchet shows more recent development activity with its last commit 19 hours ago, while Automa was last updated 6 months ago. This suggests Hatchet is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript, CSS. However, they differ in their additional technology choices: Automa uses Vue while Hatchet leverages Bash, Typescript, JSX, Python, Next.js, Golang.
Automa has been in development longer, starting 5 years ago, compared to Hatchet which began 3 years ago. This 2.2-year head start suggests Automa may have more mature features and established processes.
Hatchet is licensed under MIT, while Automa's license terms are not publicly specified.
Both tools serve similar use cases in Workflow Automation. However, they also have distinct specializations: Automa also focuses on Low-Code/No-Code, Browser Automation while Hatchet extends into PaaS & Deployment Tools, Backend-as-a-Service (BaaS), CI/CD Platforms, Job Scheduling.
Hatchet provides self-hosting options for complete data control and customization, while Automa may be primarily cloud-based or require different deployment approaches.

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