Learn how Automa and ByteChef differ in their key features, development activity, technology stack and community adoption, so you can decide which of these tools is best for you.
Last 30 days
Last commit
8 months agoRepository age
5 yearsVersion
v1.29.12Repository
automaapp/automa
Last 30 days
Last commit
9 hours agoRepository age
5 yearsVersion
v0.35.0License
Apache-2.0Self-hosted
YesRepository
bytechefhq/bytechef
ByteChef 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 significantly outpaces ByteChef in community adoption with 21,676 stars compared to 1,047 stars on GitHub. This 20.7x difference suggests Automa has a much larger and more active community. In terms of developer contributions, Automa has 2,334 forks, indicating strong developer engagement.
ByteChef is growing faster, adding 45 stars in the last 30 days (+4.5%) against adding 34 stars for Automa (+0.2%). ByteChef is the smaller project of the two, so it is closing the gap rather than extending a lead.
ByteChef shows more recent development activity with its last commit 9 hours ago, while Automa was last updated 8 months ago. This suggests ByteChef 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 ByteChef leverages Bash, Typescript, JSX, Next.js, Java, Kotlin.
Both projects started around the same time, with Automa beginning 5 years ago and ByteChef 5 years ago.
ByteChef is licensed under Apache-2.0, while Automa's license terms are not publicly specified.
Automa also focuses on Low-Code/No-Code, Browser Automation while ByteChef extends into AI Agent Platforms, Workflow Automation.
ByteChef provides self-hosting options for complete data control and customization, while Automa may be primarily cloud-based or require different deployment approaches.