A collection of Python Streamlit example applications demonstrating various features and use cases.
This repository contains example Streamlit applications showcasing different functionalities, widgets, and best practices for building interactive web applications with Python.
- Python 3.8 or higher
- pip package manager
- Clone the repository:
git clone https://github.com/yourusername/streamlit-examples.git
cd streamlit-examples- Create a virtual environment (recommended):
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate- Install dependencies:
pip install -r requirements.txtTo run any example application:
streamlit run app.pyThe application will open in your default web browser at http://localhost:8501.
streamlit-examples/
├── README.md
├── requirements.txt
├── LICENSE
└── examples/
├── basic_widgets.py
├── data_visualization.py
├── file_upload.py
└── interactive_dashboard.py
- Basic Widgets: Demonstrates common Streamlit widgets (buttons, sliders, text inputs)
- Data Visualization: Shows how to create charts and graphs with Streamlit
- File Upload: Example of handling file uploads and processing
- Interactive Dashboard: A complete dashboard example with multiple components
- Streamlit: Interactive web application framework
- Pandas: Data manipulation and analysis
- Plotly/Matplotlib: Data visualization
- NumPy: Numerical computing
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
- Streamlit team for the amazing framework
- Community contributors and example creators