openf1

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. (work in progress, MVP in legacy branch)

An open-source Formula 1 dashboard for race results, championship standings, weekend schedules, and interactive lap comparisons. Built with Python, Reflex, and OpenF1

Ask anything about Formula 1 and get live, streamed charts and tables. A generative UI demo built with OpenUI, OpenF1 and Next.js.

A Python data pipeline for Formula 1 race-weekend data, with a dashboard for loading, inspecting, and replaying sessions.

F1 team radio clips enriched with full race context — positions, gaps, tyres, events, overtakes

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.

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.

Formula 1 prediction game: race-weekend picks, private leagues, deadline-aware scoring, and live session telemetry. Next.js + FastAPI + Supabase on OpenF1 data.

Replay any F1 race since 2023 in your browser, with live standings, real team radio and an ML pit-stop what-if.

2024 F1 data engineering platform using OpenF1, Kafka, Spark, PostgreSQL, Cassandra, Airflow and Docker, with interactive Superset analytics.

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.

Allows you to receive mqtt events during a F1 practice, qualifying or race. You can e.g. adjust the color of your lights to the race leader.

🏎️ End-to-end Formula 1 race prediction platform using OpenF1 data, XGBoost, SHAP explainability, and Streamlit-powered what-if simulations.

Cinematic motorsport intelligence dashboard with OpenF1-derived data, historical replay, evidence-weighted race outlooks, and external weather context.

Client-side F1 telemetry analysis and session replay on real OpenF1 data: 4-driver lap overlays, track delta maps, lift & coast detection, 60 FPS scrubbing.

Capstone Project for a F1 AI Strategist Assistant

All-in-one Formula 1 MCP server — live telemetry, historical results, race analysis, and news from OpenF1, Jolpica, FastF1, and Wikidata

Always-on Race Intelligence System

F1 season data pipeline: .NET Worker + EF Core ingest OpenF1 API data into PostgreSQL with idempotent per-session transactions; read-only Minimal API; Python (pandas/matplotlib) tyre-degradation analysis. Containerized with Docker Compose, tested with xUnit/Moq + pytest, built via GitHub Actions CI.