F1 Analytics Dashboard

Overview

A broadcast-style Formula 1 analysis dashboard — lap-by-lap position traces, tyre strategy Gantt charts, and race analytics. Select any season, Grand Prix, and session to load real telemetry data instantly.

The F1 Analytics Dashboard is a comprehensive data visualization platform that brings Formula 1 race analytics to life. Built with a Python backend using FastAPI and FastF1 for telemetry data processing, and a modern Next.js frontend for interactive visualizations.

Key Features

Technology Stack

Challenges

• Processing large volumes of telemetry data efficiently

• Creating real-time visualizations that match broadcast quality

• Handling multiple seasons and race formats

• Optimizing API response times for smooth user experience

Solutions

• Implemented caching strategy with FastF1's built-in cache system

• Used Recharts for performant, responsive data visualizations

• Built a flexible API that handles all F1 session types

• Optimized data structures for quick filtering and rendering

Project Architecture

f1-dashboard/
├── backend/              # Python — FastAPI + FastF1
│   ├── main.py           # REST API endpoints
│   ├── requirements.txt
│   └── f1_cache/         # Auto-populated telemetry cache
└── frontend/             # TypeScript — Next.js 14 + Tailwind
    └── src/
        ├── app/          # App Router pages
        ├── components/   # RaceSelector, PositionChart, TyreStrategy…
        ├── lib/          # API client + utilities
        └── types/        # F1 TypeScript interfaces

Key Learnings

• Deep understanding of F1 telemetry data structures

• Advanced React patterns for complex state management

• API design for data-intensive applications

• Performance optimization techniques for large datasets

Future Enhancements

Live timing & telemetry via WebSocket, animated race map, Redis pub/sub layer, and deep analytics with telemetry overlays.