Interactive F1 strategy dashboard tutorial using the OpenF1 API, Streamlit, Plotly, and pandas.
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Updated
May 29, 2025 - Python
Interactive F1 strategy dashboard tutorial using the OpenF1 API, Streamlit, Plotly, and pandas.
AI Models for Strategy Recommendations in Formula 1 races. Final Thesis Project of UIE Intelligent Systems Engineering (work in progress).
Capstone Project for a F1 AI Strategist Assistant
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Formula 1 analytics pipeline that pulls OpenF1 race-weekend data, builds SQLite driver features, and visualizes over/underperformance with a transparent Racecraft Index MVP.
A responsive web dashboard built with React that displays detailed Formula One data including drivers, lap times, car information, and race locations. The app fetches data from the OpenF1 API, a free and public Formula One data source, to provide up-to-date statistics and insights.
OpenF1 MCP — real-time & historical Formula 1 data.
A production-grade, asynchronous Python wrapper for the OpenF1 API.
Real-time F1 telemetry dashboard with ML anomaly detection, distance-aligned multi-driver comparison, Isolation Forest validated against physics rules, live OpenF1 streaming, and instant MongoDB lap replay. FastAPI · React · scikit-learn.
A real-time Formula 1 live dashboard built using React, Node.js, and OpenF1 API. This application provides live race tracking, moving car visualization on track, leaderboard updates, upcoming race countdowns, driver and team details, and a professional F1-style racing experience using real-time motorsport data.
Just a project, where you can see the past race with openF1 API, and no need to signup, it's 100% free and no need to pay anything
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