# Getting Started with Mito for Streamlit

## Overview of Mito for Streamlit

[Streamlit](https://www.streamlit.io/) is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science. In just a few minutes you can build and deploy powerful data apps.

Mito for Streamlit allows Streamlit application developers to add a spreadsheet directly into their Streamlit application. In turn, their users can use Mito to:

1. Import, clean, and transform datasets into a format required by the rest of the Streamlit app.
2. Do flexible data exploration and analysis.
3. Create Python scripts using Mito's code-gen capabilities.

<table data-view="cards"><thead><tr><th></th><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Install Mito for Streamlit</strong></td><td>Get started by installing the <code>mitosheet</code> package for Streamlit.</td><td></td><td><a href="/pages/maA1rxkIIxGhgzSiVNQU">/pages/maA1rxkIIxGhgzSiVNQU</a></td></tr><tr><td><strong>API Reference</strong></td><td>Learn about how to Mito's Streamlit APIs, including examples and features.</td><td></td><td><a href="/pages/YAUVypkgwq6tAbo8bd74">/pages/YAUVypkgwq6tAbo8bd74</a></td></tr><tr><td><strong>App gallery</strong></td><td>Try out awesome Streamlit applications that include the Mito spreadsheet.</td><td></td><td><a href="/pages/8yNpOA1Qa483ArzCfxY8">/pages/8yNpOA1Qa483ArzCfxY8</a></td></tr></tbody></table>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.trymito.io/mito-for-streamlit/getting-started-with-mito-for-streamlit.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
