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Lo mejor de Sandboxes (2026)

Daniel NikulshynPor Daniel Nikulshyn·Actualizado junio de 2026·1 herramientas reseñadas

A curated guide to the best sandboxes for safely running, testing, and analyzing code, files, or AI agents in isolated environments without risking your host system.

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Lo mejor de Sandboxes (2026)

  1. 1E2B SandboxOpen-source secure sandboxes for running AI-generated code at scale.
    4.5 (6)
1

E2B Sandbox

Open-source secure sandboxes for running AI-generated code at scale.

4.5 (6)
· freemium
E2B Sandbox screenshot

E2B Sandbox is an open-source infrastructure layer that lets developers safely execute AI-generated code in isolated cloud environments. It provides ephemeral virtual machines where agents and LLM-powered apps can run scripts, install packages, handle files, and interact with the web without putting host systems at risk. Built for AI engineers, E2B exposes simple SDKs in Python and JavaScript that spin up sandboxes in milliseconds. It is commonly used to power code interpreters, autonomous agents, data analysis workflows, and any application where untrusted or generated code needs a controlled runtime. Because the project is open source, teams can self-host the infrastructure or use the managed cloud, giving flexibility for compliance, customization, and cost control.

  • Secure isolated cloud sandboxes
  • Python and JavaScript SDKs
  • Filesystem and process control APIs
  • Long-running session support
  • Self-hostable open-source stack
  • Integration with popular LLM frameworks

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