Learn how Daytona and E2B differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai sandboxes is best for you.
Last 30 days
Last commit
Repository age
Version
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Last 30 days
Last commit
Repository age
Version
License
Repository

Both Daytona and E2B 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.
Daytona significantly outpaces E2B in community adoption with 71,866 stars compared to 13,558 stars on GitHub. This 5.3x difference suggests Daytona has a much larger and more active community. In terms of developer contributions, Daytona has 5,645 forks, indicating strong developer engagement.
E2B is growing faster, adding 433 stars in the last 30 days (+3.3%) against losing 277 stars for Daytona (-0.4%). E2B is the smaller project of the two, so it is closing the gap rather than extending a lead.
E2B shows more recent development activity with its last commit 6 hours ago, while Daytona was last updated 1 month ago. This suggests E2B is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python, Golang. However, they differ in their additional technology choices: Daytona uses SCSS while E2B leverages Next.js.
Both projects started around the same time, with Daytona beginning 3 years ago and E2B 3 years ago.
The projects use different licenses: Daytona is licensed under AGPL-3.0 while E2B uses Apache-2.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in AI Sandboxes.