Production-ready template for building scalable Streamlit applications.
Ideal for data scientists, ML engineers, and Python developers seeking efficient app deployment
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This is a template repository designed to help developers quickly bootstrap high-quality Streamlit applications with standardized project structure and best practices.
- 🚀 Standardized Streamlit project layout
- 🔒 Security and environment management
- 🧪 Integrated testing frameworks
- 📦 Dependency management
- 🐳 Docker containerization
- 🚢 Deployment-ready configurations
- 🔍 Logging and monitoring setup
Check out the demo of the app in action:
This GIF demonstrates the core features and user interface of the Streamlit application.
- Data Science Teams
- Machine Learning Engineers
- Python Web Application Developers
- Rapid Prototyping Enthusiasts
├───data
│ ├───input
│ └───output
├───src
│ ├───assets
│ ├───config
│ ├───backend
│ └───frontend
│ ├───Files
│ ├───Home
│ └───Modules
- input: Store raw data files and datasets used by the application.
- output: Save processed data, results, and generated files.
- assets: Contains static files like images, CSS, and JavaScript.
- config: Configuration files and settings for the application.
- backend: Core logic, data processing, and API integrations.
- frontend: Streamlit-specific code for the user interface.
- Files: Components for file handling and uploads.
- Home: Main page and dashboard components.
- Modules: Reusable Streamlit components and widgets.
- Separation of Concerns: Clear distinction between frontend, backend, and data management.
- Scalability: Organized layout for easy addition of new features and modules.
- Maintainability: Logical grouping of related files and functionalities.
- Configuration Management: Centralized location for all configuration files.
- Asset Management: Organized storage for static assets.
This structure provides a solid foundation for building complex Streamlit applications while maintaining code organization and project scalability.
For Organization Members
- Click "Use this template" green button on GitHub
- Name your new repository
- Choose visibility (Public/Private)
- Clone and start developing immediately
- Fork the repository
- Customize to your specific Streamlit app requirements
- Remove or modify template-specific instructions
Accelerate your Streamlit app development with a professional, scalable template that follows industry standards and reduces boilerplate setup time. Technologies
- Streamlit
- Python 3.9+
- uv
- Docker
- GitHub Actions
- Pytest
- Pre-configured project structure
- Standardized development workflows
- Essential configuration files
- Deployment-ready setup
- Update pyproject.toml
- Configure environment variables
- Modify application logic
- Update documentation
Please read CONTRIBUTING.md for details on our code of conduct and process for submitting pull requests.
Thank you to all the people who have already contributed to streamlit-app-template[contributors].