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How to turn an analysis notebook into an interactive web app with Marimo

Add sliders and dropdowns to a Marimo notebook and serve it as an app with the code hidden.

Short answer: Install with pip install marimo; then create or edit a notebook with Marimo edit and bind sliders, dropdowns or tables to Python values; dependent cells rerun automatically; run it as an app with marimo run your_notebook.py. All steps.

Who it is forAn analyst who wants teammates to explore results without touching Python.

The problemSharing notebook results usually means static screenshots or rebuilding the analysis in Streamlit.

The outcomeA running web app where UI elements drive the analysis and the code stays hidden and uneditable.

What you need first

  • Python and pip or conda
  • Optional: marimo[recommended] for SQL cells, AI completion and more
  • Optional: your own API keys or a local model for AI features

Steps

  1. Install with pip install marimo
  2. Create or edit a notebook with Marimo edit and bind sliders, dropdowns or tables to Python values; dependent cells rerun automatically
  3. Run it as an app with marimo run your_notebook.py
  4. Use the slides layout if you want to present it
  5. Share a cloud copy through molab when teammates cannot run it locally

Prompt for your agent

With marimo-team/marimo, add a slider and a dropdown to <notebook.py> that filter <dataset> and update the chart, then serve it with `marimo run your_notebook.py` and give me the local URL.

Caveat. This card is written from the marimo-team/marimo README, not from a test run by Deduped. Before you start, make sure you have Python and pip or conda. Check the repo for newer instructions before you rely on these steps.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for marimo-team/marimo and "Turn an analysis notebook into an interactive web app"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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