Traffic data: SimilarWeb (estimated)
E2B provides an open-source, secure environment with real-world tools for AI agents.
E2B is an AI tool tracked by Relve in the AI Engineering Tools category. It uses a Freemium pricing model and runs on the web at e2b.dev.
The Relve catalog tracks 500+ live tools in AI Engineering Tools. E2B is part of the editorial tracking surface, with a Domain Rating of 42 on Ahrefs' authority scale.
Closest alternatives: Abyss Hub, ACE Studio, Actionbook, Action Sync, Adaapt.AI. Compare E2B head-to-head with any of these on the /compare surface — same feature axes, pricing tiers, and traffic side-by-side.
Best for: teams looking for ai engineering tools-class capabilities with a freemium entry point. Traffic figures are SimilarWeb estimates.
Customize your Sandbox CPU & RAM
Users can tailor the CPU and RAM specifications of their sandboxes to meet specific computational needs. This customization allows for optimized performance based on the requirements of the tasks being executed.
Up to 24-hour sandbox session length
Each sandbox can run for a maximum of 24 hours, providing flexibility for long-running tasks and experiments. This feature is particularly useful for extensive computations or processes that require sustained execution.
Up to 100 concurrently running sandboxes
Users can run up to 100 sandboxes at the same time, allowing for parallel processing of tasks. This capability is essential for users needing to execute multiple experiments or workflows simultaneously.
Ability to purchase extra concurrency up to 1,100
Users have the option to increase their concurrency limit beyond the standard allowance, enabling them to run up to 1,100 sandboxes concurrently. This feature is ideal for large-scale operations requiring extensive computational resources.
Enterprise-grade security features
E2B provides robust security measures to protect user data, workloads, and credentials. This includes features designed to ensure that sensitive information remains secure during processing and storage.
Role-based access control
This feature allows administrators to define granular permissions for team members, ensuring that users only have access to the resources and functionalities necessary for their roles. This enhances security and operational efficiency.
Total isolation for sandboxes
Each sandbox operates in complete isolation, protecting the infrastructure and data from potentially harmful code generated by LLMs. This ensures that untrusted workflows do not compromise system integrity.
BYOC + On-prem deployment
E2B can be deployed securely in users' own cloud environments or on-premises, providing flexibility in how organizations choose to manage their infrastructure. This feature supports various deployment strategies to meet specific business needs.
Self-hosting option
For organizations not ready to commit to an enterprise plan, E2B offers a self-hosting option, allowing users to run the platform in their own cloud environment. This provides greater control over the infrastructure and data.
Built to scale
E2B is designed to handle hundreds of millions of sandboxes, making it the only provider capable of such extensive scalability. This feature is crucial for organizations that require high-volume processing capabilities.
Guaranteed uptime and support levels
E2B offers service level agreements (SLAs) that guarantee uptime and support tailored to the operational needs of enterprises. This ensures that businesses can rely on the platform for critical operations.
Deep Research Agents
These agents are designed to conduct extensive research on large datasets, enabling users to extract valuable insights efficiently. They leverage the power of E2B's infrastructure to handle complex queries and data analysis tasks.
Coding agents
E2B allows users to securely execute code, utilize input/output operations, access the internet, and initiate terminal commands. This feature is essential for developers looking to run code in a controlled environment.
Reinforcement learning
Users can utilize tens of thousands of concurrent sandboxes to run and evaluate reward functions, making it easier to train AI models effectively. This capability is particularly beneficial for machine learning applications.
Vibe coding
This feature allows users to use a sandbox as a runtime environment for AI-generated applications, supporting any programming language and framework. It provides flexibility for developers to experiment with various technologies.
Hobby
Pro
Ultimate
Enterprise
API access· 6
Deep Research Agents
For: Data Scientist
AI Data Analysis & Visualization
For: Data Analyst
Coding Agents
For: Software Developer
Reinforcement Learning
For: Machine Learning Engineer
Computer Use
For: IT Administrator
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Traffic data: SimilarWeb (estimated)
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