Streamlit Example App in Python — Widgets, DataFrames and Charts

A single-file Streamlit example app in Python that demonstrates sidebar input widgets, a pandas DataFrame, a matplotlib histogram, and Streamlit’s native line and area charts — a quick way to learn how to build an interactive data web app without writing HTML or JavaScript.

Overview

This app serves as a showcase of Streamlit’s core capabilities. Users can interact with various sidebar controls, view their selections displayed in the main area, explore a dynamically generated data table, and see multiple chart types — all in a single-page web interface.

Features

  • Sidebar widgets:
    • Slider (age range selection)
    • Text input (name)
    • Selectbox (gender)
    • Multiselect (hobbies)
    • Date input (date of birth)
    • Number input (salary)
    • Checkbox (terms agreement)
    • Radio buttons (feedback source)
  • Main area:
    • Display of all user inputs
    • Dynamic DataFrame combining user input with sample data
    • Age distribution histogram (matplotlib)
    • Salary-vs-age line chart (Streamlit native)
    • Salary-vs-age area chart (Streamlit native)
    • Conditional “Show More Info” section via checkbox

Requirements

streamlit
pandas
numpy
matplotlib

Install dependencies:

pip install streamlit pandas numpy matplotlib

Usage

From the Console_Code folder:

streamlit run streamlit_app.py

If the above command does not work:

python -m streamlit run streamlit_app.py

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

File Structure

Streamlit/
└── Console_Code/
    └── streamlit_app.py    # Main Streamlit application

How Streamlit Runs the App

Streamlit re-runs the whole script from top to bottom every time a widget changes. Each widget call (for example st.sidebar.slider) returns its current value, so the page always reflects the latest inputs without callbacks.

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