E2B
Revolutionizing AI code execution with secure, versatile SDKs.
Key Takeaways
- What it is
- Revolutionizing AI code execution with secure, versatile SDKs.
- Pricing
- Freemium
- Best for
- Code Interpreter SDK
- Secure Sandboxes
- Open-Source
- Rating
- 4.5/5
What is E2B?
E2B revolutionizes code interpreting and execution for AI applications, offering a comprehensive open-source solution. Designed for developers and AI enthusiasts, E2B simplifies the process of running AI-generated code in secure sandboxes, facilitating seamless integration into your AI apps. Its primary focus is on enhancing the capabilities of Python and JavaScript/TypeScript environments through its innovative SDKs.
E2B stands out with its secure sandboxes, a game-changer for AI-generated code execution. Its ability to provide an open-source, community-driven platform ensures continuous innovation and adaptability.
E2B excels in providing secure and efficient code execution for AI applications, making it an essential tool for developers and AI professionals. Its secure sandboxes offer an unmatched advantage in ensuring safe and reliable code execution.
Who is Using E2B?
AI Developers
Utilizing E2B for integrating secure code execution in AI applications.
Data Scientists
Employing the tool to run and test AI-generated code safely.
Educational Institutions
Leveraging E2B for teaching AI and programming courses with practical code execution.
Research Labs
Using the platform for conducting experiments with AI-generated code in a controlled environment.
Uncommon Use Cases
Adopted by cybersecurity professionals for testing code vulnerabilities; used by financial analysts for executing predictive models securely.
Key Features
Rating Breakdown
Pricing Plans
Free Tier
Free
- Experience E2B with an open-source model
Pro Tier
- Pricing details are not explicitly mentioned
Which E2B plan should you pick?
Start with Hobby for experimentation and small workloads, upgrade to Pro for longer sessions and higher concurrency, and choose Enterprise for committed usage, BYOC, or persistent multi-day workloads.
Hobby
Good for developers testing E2B with free credits, one-hour sessions, and up to 20 concurrent sandboxes.
Pro
Good for production teams needing 24-hour sessions, custom CPU and RAM, and up to 100 concurrent sandboxes.
Enterprise
Good for organizations needing committed usage, multi-day or persistent sessions, large-scale concurrency, custom deployment, or BYOC.
E2B Use Cases
Coding agents
Run agents that create files, install tools, execute code, test software, and iterate inside isolated machines.
Outcome: Working software can be built and validated in a controlled environment.
AI data analysis
Upload datasets and let an AI agent execute analysis code, create charts, and return generated artifacts.
Outcome: Data is transformed into analyses, visualizations, and reports.
Computer-use agents
Give agents a full streamed desktop with browser, mouse, keyboard, and application access.
Outcome: Agents can operate software more like human users.
Deep research agents
Use sandboxes to ingest sources, run computations, and process large datasets during research tasks.
Outcome: Agents can return synthesized research reports.
Reinforcement-learning and evaluation runs
Launch many isolated sandboxes in parallel for evals, benchmarks, and RL rollouts.
Outcome: Teams can run large-scale experiments with independent environments.
Workflow Ideas with E2B
Build and validate an application
- 1Create an isolated E2B sandbox
- 2Have the coding agent write files and install dependencies
- 3Run tests, build the application, and serve the result
Analyze an uploaded dataset
- 1Upload a CSV or other data file to the sandbox
- 2Ask an AI agent to generate and execute analysis code
- 3Return charts, tables, or a report
Operate a desktop application
- 1Launch an E2B desktop sandbox
- 2Open a browser or desktop application
- 3Stream the screen and let the agent use mouse and keyboard controls
How E2B fits into your stack
GitHub Integration
Seamlessly integrates with GitHub for version control and collaboration.
API Access
Developers can harness E2B's API for custom integrations.
Third-Party Integration
Supports integration with various third-party tools, enhancing its versatility.
Plugin Ecosystem
Explore a thriving plugin ecosystem for added functionalities.
Pros
- +Enhanced Security: Secure sandboxes prevent unauthorized access and potential security breaches.
- +Community Driven: Being open-source allows for continuous improvement and community-driven enhancements.
- +Versatile SDKs: Supports both Python and JavaScript/TypeScript, catering to a wide range of developers.
- +Ease of Integration: The SDKs are designed for easy integration into existing AI applications, reducing development time.
Cons
- −Learning Curve: Initial setup and understanding of the SDKs may require some time, especially for beginners.
- −Limited Language Support: Currently, the SDKs are limited to Python and JavaScript/TypeScript.
Limitations & when to consider alternatives
Known limitations
- Hobby sessions are limited to one hour. The Hobby plan supports sessions up to one hour; longer sessions require Pro or Enterprise.
- Pro has a 24-hour session limit. Pro sessions can run for up to 24 hours, while Enterprise offers multi-day and persistent sessions.
- Concurrency varies by plan. Hobby includes 20 concurrent sandboxes, Pro includes 100, and higher concurrency requires add-ons or Enterprise.
- BYOC supports AWS and Google Cloud. E2B's documented BYOC deployment supports AWS and Google Cloud; Azure is still in development.
- Usage is billed by runtime. Paid plans combine a monthly subscription or custom commitment with usage costs based on sandbox runtime and resources.
How to Use E2B
- 1
Explore the comprehensive tutorial series on the E2B website, covering everything from basic setup to advanced features. These resources are invaluable for getting the most out of the platform.
Who is E2B For?
AI agent developers
E2B provides isolated machines, tools, networking, storage, and code execution for production agents.
Software engineering AI agents
E2B is designed for agents that write, run, test, debug, and deploy software in secure environments.
AI research teams
Research teams can use E2B for evals, reinforcement-learning rollouts, benchmarks, and parallel experiments.
Early-stage AI startups
The startup program targets teams building coding agents, data-analysis products, computer-use systems, and other agentic applications.
Enterprise security and platform teams
Enterprise deployments provide microVM isolation, BYOC on AWS or Google Cloud, SOC 2, and custom scale.
Frequently Asked Questions
What is E2B?
E2B is an open-source runtime and cloud platform that gives AI agents isolated machines for executing code, using tools, and working with data.
What can run inside an E2B sandbox?
Sandboxes provide Linux, commands, filesystems, networking, browsers, terminals, and optional desktop environments for agent workloads.
Which models and frameworks work with E2B?
E2B is LLM-agnostic and supports models such as OpenAI, Llama, Anthropic, and Mistral, plus AI frameworks of the user's choice.
How long can a sandbox run?
Hobby sessions can run for up to one hour, while Pro sessions can run for up to 24 hours.
Can E2B run in a customer's cloud?
Enterprise customers can deploy E2B sandboxes through BYOC in AWS or Google Cloud accounts.
Does E2B support file uploads?
Yes. E2B's filesystem and Code Interpreter SDKs support uploading files into sandboxes for processing.
Community reviews
Be the first to share your experience.
Sign in to leave a review for E2B.
E2B Alternatives
Looking for alternatives to E2B? Here are similar tools in the same category:
Learn to Master E2B
With Skill Leap courses
Get in-depth training on E2B and 50+ other AI tools with our expert-led video courses.
Start 7-Day Free Trial