The best open source alternative to E2B is Daytona. If that doesn't suit you, we've compiled a ranked list of other open source E2B alternatives to help you find a suitable replacement. Other interesting open source alternative to E2B is Beam.
E2B alternatives are mainly AI Development Platforms but may also be GPU & Compute Platforms or Development Environments. Browse these if you want a narrower list of alternatives or looking for a specific functionality of E2B.
Execute AI-generated code safely with 90ms sandbox creation, isolated environments, and enterprise-grade security. Perfect for AI agents and development workflows.

Deploy AI-generated code with complete confidence using lightning-fast infrastructure designed specifically for modern AI workflows. Create secure sandboxes in just 90 milliseconds and execute code in completely isolated environments that protect your infrastructure from any risks.
Key Features:
Comprehensive API Control:
AI-First Infrastructure: Perfect for data analysis, visualization, reinforcement learning, and computer use cases. Features environment snapshots for instant workflow resumption, global deployment for low-latency access, and shared volumes for data persistence across sandboxes.
Developer-Friendly: Access sandboxes via SSH, VS Code browser integration, or web terminal. Open-source transparency with customer-managed compute ensures complete control over your infrastructure. Pay-as-you-go pricing with $200 free compute included.
Looking for open source alternatives to other popular services? Check out other posts in the alternatives series and openalternative.co, a directory of open source software with filters for tags and alternatives for easy browsing and discovery.
Run AI workloads with sub-second cold starts, elastic GPU scaling, and secure sandboxed environments. Scale to zero when idle, burst to thousands instantly.

Revolutionary AI infrastructure designed specifically for developers who need speed, reliability, and seamless scaling. Run sandboxes, inference, and training workloads with ultrafast boot times and instant autoscaling that adapts to your traffic patterns.
Key capabilities include:
The platform supports multiple use cases from custom model inference and LLM training to web scraping and Streamlit apps. 100% open source with the flexibility to run on their cloud or yours.
Developer-first experience features easy local debugging, one-line hardware switching, and seamless CI/CD integration. Trusted by leading AI companies for its exceptional developer experience and reliability, helping teams ship faster without the complexity of managing GPU infrastructure.