> ## Documentation Index
> Fetch the complete documentation index at: https://docs.langchain.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Daytona integrations

> Integrate with Daytona using LangChain Python.

[Daytona](https://daytona.io) provides fast-starting sandbox environments with multi-language support. See the [Daytona docs](https://www.daytona.io/docs) for signup, authentication, and platform details.

<Columns cols={2}>
  <Card title="DaytonaSandbox" href="/oss/python/integrations/sandboxes/daytona" cta="Get started" icon="terminal" arrow>
    Daytona sandbox backend for deepagents.
  </Card>

  <Card title="DaytonaDataAnalysisTool" href="/oss/python/integrations/tools/daytona_data_analysis" cta="Get started" icon="tool" arrow>
    Data analysis tool powered by Daytona sandboxes.
  </Card>
</Columns>

***

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    [Connect these docs](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
  </Callout>

  <Callout icon="edit">
    [Edit this page on GitHub](https://github.com/langchain-ai/docs/edit/main/src/oss/python/integrations/providers/daytona.mdx) or [file an issue](https://github.com/langchain-ai/docs/issues/new/choose).
  </Callout>
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