A minimalist and performance-oriented boilerplate that leverages the simplicity and efficiency of Bun, Express, React, and raw SQL.
This boilerplate is designed for developers seeking a lean and efficient approach to building web applications. By utilizing Bun for its modern JavaScript runtime, Express for server-side logic, React for dynamic user interfaces, and raw SQL for direct database interactions, this project prioritizes performance and simplicity. The inclusion of Docker ensures a seamless development and deployment process, encapsulating the application in a consistent environment across different stages.
- Bun: A cutting-edge JavaScript runtime that promises faster performance and improved developer experience.
- Express: A minimalist web framework for Node.js, facilitating the rapid development of server-side logic and APIs.
- React: A front-end library for building user interfaces with a focus on efficiency and flexibility.
- Raw SQL: Direct database interactions for full control over queries and database operations, bypassing the complexity of ORMs.
- Docker: Containerization of the application to streamline development, testing, and deployment across various environments.
- Docker
- Bun (for local development)
- Node.js (for local development)
- Clone the repository
git clone https://github.com/your-repository.git
cd your-repository
- Build the Docker container
docker build -t your-application-name .
- Run the application
docker run -p 3000:3000 your-application-name
The application should now be running on http://localhost:3000
.
For local development, ensure Bun and Node.js are installed on your machine. Navigate to the project directory and install dependencies:
bun install
To start the Express server:
bun run start
For React development, navigate to the client directory and start the React app:
cd client
bun run start
- /server: Contains Express server configuration and API routes.
- /client: Houses the React application codebase.
- /database: Includes raw SQL scripts for database schema and seed data.
Contributions are welcome! Please feel free to submit a pull request or open an issue for discussion.
This project is licensed under the MIT License - see the LICENSE.md file for details.