The repository contains a template and modules for the code interpreter sandbox. It is based on the Jupyter server and implements the Jupyter Kernel messaging protocol. This allows for sharing context between code executions and improves support for plotting charts and other display-able data.
- Stateful Execution: Unlike traditional sandboxes that treat each code execution independently, this package maintains context across executions.
- Displaying Graph & Data: Implements parts of the Jupyter Kernel messaging protocol, which support for interactive features like plotting charts, rendering DataFrames, etc.
npm install @e2b/code-interpreterimport { CodeInterpreter } from '@e2b/code-interpreter'
const sandbox = await CodeInterpreter.create()
await sandbox.notebook.execCell('x = 1')
const execution = await sandbox.notebook.execCell('x+=1; x')
console.log(execution.text) // outputs 2
await sandbox.close()import { CodeInterpreter } from '@e2b/code-interpreter'
const sandbox = await CodeInterpreter.create()
const code = `
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 20, 100)
y = np.sin(x)
plt.plot(x, y)
plt.show()
`
// you can install dependencies in "jupyter notebook style"
await sandbox.notebook.execCell("!pip install matplotlib")
const execution = await sandbox.notebook.execCell(code)
// this contains the image data, you can e.g. save it to file or send to frontend
execution.results[0].png
await sandbox.close()import { CodeInterpreter } from '@e2b/code-interpreter'
const code = `
import time
import pandas as pd
print("hello")
time.sleep(3)
data = pd.DataFrame(data=[[1, 2], [3, 4]], columns=["A", "B"])
display(data.head(10))
time.sleep(3)
print("world")
`
const sandbox = await CodeInterpreter.create()
await sandbox.notebook.execCell(code, {
onStdout: (out) => console.log(out),
onStderr: (outErr) => console.error(outErr),
onResult: (result) => console.log(result.text)
})
await sandbox.close()