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.
Open-source multi-agent AI platform for Formula 1 race replay, strategy simulation, and explainable race strategy recommendations.
Advanced motorsport telemetry dashboard (React 19 / Vite 8). Now fully merged with our live site to bring you real-time F1 timings! Also includes comprehensive historical data for F2 & F1 Academy, featuring immersive 3D race visualizations and deep lap analytics.
All-in-one Formula 1 MCP server — live telemetry, historical results, race analysis, and news from OpenF1, Jolpica, FastF1, and Wikidata
Capstone Project for a F1 AI Strategist Assistant
An open-source Formula 1 dashboard. Watch the race unfold with live timing data, track car movements in real-time, and analyze driver telemetry directly from your browser.
🏎️ End-to-end Formula 1 race prediction platform using OpenF1 data, XGBoost, SHAP explainability, and Streamlit-powered what-if simulations.
Formula 1 analytics pipeline that pulls OpenF1 race-weekend data, builds SQLite driver features, and visualizes over/underperformance with a transparent Racecraft Index MVP.
Formula 1 data in your terminal - schedule, results, standings, and session times
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.
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.
AI-powered decision intelligence system for Formula 1 strategy analysis, transforming race documents and OpenF1 telemetry into evidence-backed timelines and strategic insights using local LLMs.
Personal F1 companion app — live timing, race results, qualifying, standings & schedule. Python FastAPI backend with APScheduler + SQLite, Android app in Java with Material Design 3. Data from OpenF1 & Jolpica APIs.
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