Description #
Streamlit is an open-source Python library that enables data scientists to build and share interactive web applications quickly. It focuses on simplicity, letting users turn scripts into shareable web apps without frontend expertise.
History #
Launched in 2019 by Adrien Treuille, Thiago Teixeira, and Amanda Kelly, Streamlit revolutionized data app development by removing the complexity of traditional web frameworks, gaining fast adoption in data science communities.
Hello World Code #
import streamlit as st
st.title('Hello, World!')
st.write('Welcome to Streamlit!')How to Run #
Option 1: Online
Use Streamlit Cloud to deploy apps quickly.
Option 2: Local
- Install with pip:
pip install streamlit- Run script with:
streamlit run app.pyKey Concepts #
- Easy and fast app creation from Python scripts
- Widgets for interactivity: sliders, buttons, inputs
- Live updates and re-running on changes
- Integrates well with data science libraries (Pandas, NumPy)
- Supports media, charts, and maps visualization
- Automatic UI generation without HTML/CSS
- Deploy on cloud or locally
- Open source with a strong community
- Ideal for dashboards and ML model apps
- Supports sharing via URLs
Try It Online #
Fun Facts #
- Streamlit was acquired by Snowflake in 2022.
- It allows users with no web dev experience to create interactive apps.
- Streamlit apps reload instantly when scripts change.
- It has over 10k stars on GitHub and a growing ecosystem.
- Streamlit supports wide visualization options, including Plotly and Altair.
