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e2b-dev/code-interpreter

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e2b-dev/code-interpreter has 2,426 GitHub stars and 233 forks. GitHot measured +1 stars in 24 hours. Last checked 2026-11-04 04:08 UTC. Last push 2026-10-28.

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Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app

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README.md

Original

E2B Code Interpreter Preview E2B Code Interpreter Preview

Last 1 month downloads for the Python SDK Last 1 month downloads for the JavaScript SDK

[!NOTE] The @e2b/code-interpreter and e2b-code-interpreter SDK sources now live in the E2B monorepo, under packages/code-interpreter-js and packages/code-interpreter-python. Open SDK issues and pull requests there. This repository keeps the sandbox template and the chart data extractor.

What is E2B?

E2B is an open-source infrastructure that allows you to run AI-generated code in secure isolated sandboxes in the cloud. To start and control sandboxes, use our JavaScript SDK or Python SDK.

Run your first Sandbox

1. Install SDK

JavaScript / TypeScript

npm i @e2b/code-interpreter

Python

pip install e2b-code-interpreter

2. Get your E2B API key

  1. Sign up to E2B here.
  2. Get your API key here.
  3. Set environment variable with your API key.
E2B_API_KEY=e2b_***

3. Execute code with code interpreter inside Sandbox

JavaScript / TypeScript

import { Sandbox } from '@e2b/code-interpreter'

const sbx = await Sandbox.create()
await sbx.runCode('x = 1')

const execution = await sbx.runCode('x+=1; x')
console.log(execution.text)  // outputs 2

Python

from e2b_code_interpreter import Sandbox

with Sandbox.create() as sandbox:
    sandbox.run_code("x = 1")
    execution = sandbox.run_code("x+=1; x")
    print(execution.text)  # outputs 2

4. Check docs

Visit E2B documentation.

5. E2B cookbook

Visit our Cookbook to get inspired by examples with different LLMs and AI frameworks.

Customizing the sandbox template

Need extra packages or a different runtime? You can build your own Code Interpreter sandbox template. See the template guide for a step-by-step walkthrough of creating, building, and using a custom template (as well as building the production code-interpreter-v1 template).

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