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E2B vs OpenComputer

Learn how E2B and OpenComputer 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.

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Favicon of E2B

E2B

AI
Provide AI agents with secure, isolated sandboxes featuring real-world tools, code execution, and enterprise-grade security. Trusted by 88% of Fortune 100 companies.
  • Activity score


    92/100
  • Stars


    13,087
  • Forks


    969
  • Last commit


    8 hours ago
  • Repository age


    3 years
  • Version


    2.15.0
  • License


    Apache-2.0
  • Repository


    e2b-dev/e2b
Screenshot of E2B
Favicon of OpenComputer

OpenComputer

AI
Provides always-on virtual machines for AI agents with full OS access, persistent state, elastic CPU/memory resizing, and instant checkpoints.
Screenshot of OpenComputer

Detailed Comparison

E2B appears to have several advantages over OpenComputer, particularly in popularity and maturity. Consider your specific needs regarding popularity, activity, maturity, licensing and features when making your decision.

E2B wins
Community & Popularity

E2B significantly outpaces OpenComputer in community adoption with 13,087 stars compared to 420 stars on GitHub. This 31.2x difference suggests E2B has a much larger and more active community. In terms of developer contributions, E2B has 969 forks, indicating moderate developer engagement.

Comparable
Development Activity

Both projects show recent activity, with E2B last updated 8 hours ago and OpenComputer 9 hours ago.

E2B wins
Project Maturity

E2B has been in development longer, starting 3 years ago, compared to OpenComputer which began 8 months ago. This 2.8-year head start suggests E2B may have more mature features and established processes.

Comparable
Licensing

Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.

Comparable
Use Cases & Features

Both tools serve similar use cases in AI Sandboxes.