F1DataLab - A Formula 1 Data Visualization Site

The current dataset is historical and does not contain the latest racing data. Future updates will incorporate more recent results.

Live Site: formula1datalab.com

F1DataLab is a full-stack web application built to showcase modern development practices and provides a platform to explore and visualize historical racing data.

Key Features

The application provides an interactive experience for exploring Formula 1 data through a variety of charts and tables:

• Race Results: Explore data from individual races, including finishing positions, and other key race events visualized in clear, informative charts.
• Driver Analytics: Analyze driver performance, career milestones, and year-over-year results with intuitive graphs.
• Constructor Insights: View detailed statistics and performance data for F1 constructors across different seasons.

Technology Stack

• Frontend: Next.js 14 with TypeScript, Tailwind CSS, and Recharts for data visualization
• Backend: Fastapi REST API with SQLAlchemy ORM
• Database: MySQL for structured F1 racing data

Containerization & Deployment

The entire application is containerized using Docker, ensuring consistency across development and production environments.

• Container Orchestration: Docker Compose is used to define and manage the multi-container application stack (frontend, backend, and database).

• Efficient Production Builds: The production environment utilizes multi-stage Docker builds to create optimized, production-ready images for both the Next.js frontend and Flask backend.

• Reverse Proxy & SSL:

  • Traefik serves as the modern cloud-native reverse proxy with automatic service discovery via Docker labels.
  • Let's Encrypt integration provides automatic SSL certificate provisioning and renewal, ensuring all traffic is served over HTTPS.

License

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