A lightning-fast platform for Formula 1 fans to explore historical data, compare drivers, and simulate race strategies – no engineering degree required.
- Lap Time Comparisons: Compare drivers’ laps side-by-side (e.g., Hamilton vs. Verstappen at Monaco).
- Gear Shift Visualization: See how drivers attack corners with animated gear shift maps.
- Tire Strategy Breakdowns: Analyze pit stop efficiency and compound performance.
- Position Change Graphs: Relive epic battles with lap-by-lap position swings.
- Track Evolution Analysis: Watch how lap times drop as rubber builds up on the circuit.
| Category | Tools |
|---|---|
| Frontend | React, Tailwind CSS, shadcn/ui, Lucide React, Custom Charts |
| Backend | Fast-F1 API, Supabase (Auth + PostgreSQL), Cloudflare R2 (Storage) |
| Infrastructure | Docker, Oracle, Redis (Caching) |
| Misc | Python (Data Processing), |
- Node.js v18+
- Python 3.10+
- Docker (for local Supabase/PostgreSQL)
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Clone the repository:
git clone https://github.com/subhashhhhhh/Fastlytics.git
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Install frontend dependencies:
npm install
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Install backend dependencies:
git clone https://github.com/subhashhhhhh/Fastlytics-Backend.git pip install -r requirements.txt
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Configure environment variables:
cp .env.example .env
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Configure backend environment variables:
cd backend-api cp .env.example .env
We welcome pit crew members!
- Fork the repository.
- Create a branch:
git checkout -b feature/brazilian-gp-2023. - Commit changes:
git commit -m "Added Hamilton’s magic telemetry". - Push:
git push origin feature/brazilian-gp-2023. - Submit a PR.
No toxic rivalries allowed – this is a Ferrari/Mercedes/Red Bull neutral zone. 🏳️
MIT License – Do whatever you want, but don’t blame us if your AI predicts Stroll as 2024 champion.
- Fast-F1: For the incredible Python library that makes this possible.
- Supabase: For auth and database.
- You: For not asking why we included the 2022 Ferrari strategy engine.
Built with ❤️ and excessive caffeine by Subhash Gottumukkala.
