SaltBitter is an innovative open-source toolkit designed for efficient data management and visualization, leveraging modern technologies for high performance and scalability.

• Backend: Built with FastAPI and Python for fast data processing.
• Frontend: Utilizes React with TypeScript for a dynamic user interface.
• Data Visualization: Employs D3.js and Plotly for interactive, compelling visuals.
• Database: Powered by PostgreSQL for robust data handling.
• Deployment: Docker and Kubernetes on AWS for seamless scaling.
• Testing: Comprehensive testing with PyTest for the backend and Jest with React Testing Library for the frontend.

1. Real-Time Data Analysis: Ideal for financial analytics and IoT dashboards needing instant data visualization.
2. Custom Data Dashboards: Build tailored dashboards for business intelligence with interactive insights.
3. Scalable Web Applications: Deploy applications that manage and visualize large datasets efficiently.
4. AI-Powered Insights: Integrate machine learning for predictive analytics and deeper insights.

1. Clone the Repository:

   git clone https://github.com/vmatresu/saltbitter.git
   cd saltbitter

2. Install Dependencies:

   • Backend: Set up a virtual environment and install the required Python packages.
   • Frontend: Navigate to the frontend directory and run npm install.

3. Run the Application:

   • Backend: Start the FastAPI server.
   • Frontend: Use npm start to launch the React application.

4. Deployment:

   • Utilize Docker and Kubernetes on AWS for deployment.

• saltbitter.com: Main site for project information, documentation, and updates.
• saltbitter.org: Community platform for engagement, forums, and contributor resources.

We welcome contributions! Please fork the repository and submit a pull request.

This project is licensed under the MIT License. See the LICENSE file for details.