Streamlit

Streamlit

Overview

Streamlit is a Python framework for rapidly building and deploying interactive web applications for data science and machine learning. Create beautiful web apps with just Python - no frontend development experience required. Apps automatically update in real-time as code changes.

When to Use This Skill

Activate when the user:

• Wants to build a web app, dashboard, or data visualization tool
• Mentions Streamlit explicitly
• Needs to create an ML/AI demo or prototype
• Wants to visualize data interactively
• Asks for a data exploration tool
• Needs interactive widgets (sliders, buttons, file uploads)
• Wants to share analysis results with stakeholders

Installation and Setup

Check if Streamlit is installed:

python3 -c "import streamlit; print(streamlit.__version__)"

If not installed:

pip3 install streamlit

Create and run your first app:

# Create app.py with Streamlit code
streamlit run app.py

The app opens automatically in your browser at http://localhost:8501

Basic App Structure

Every Streamlit app follows this simple pattern:

import streamlit as st