An interactive Formula 1 race visualisation and data analysis tool built with Python! 🏎️
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Updated
Apr 17, 2026 - Python
An interactive Formula 1 race visualisation and data analysis tool built with Python! 🏎️
F1 Live Timing TUI for all F1 sessions with variable delay to sync to your TV. Supports replaying previously recorded sessions.
Visualisation of real-time track data and telemetry synced to F1 replays.
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Formula 1 Data Analysis and Visualisations
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Project about analysis of Formula One data (1900-2023). Contains every single driver's data, especially rates about all the parameters that could even exist. Also contains GP stats, safety cars, etc.
An open-source Python tool for extracting and transcribing Formula 1 race radio communications from F1 TV streams. This tool automatically processes radio communications for all drivers during race sessions, qualifying, and sprint events.
F1 RACE STATISTICAL ANALYSIS
This project ingests live Formula 1 telemetry, processes it through a highly scalable Medallion Lakehouse architecture (Bronze, Silver, Gold) using PySpark, and deploys an XGBoost Classification engine. The pipeline automatically evaluates Friday Race Pace and Saturday Qualifying track position to predict Sunday race outcomes, emailing the results
Machine Learning pipeline for predicting Formula 1 2025 driver scores (Proxy-Grid), including Monte Carlo simulations and past season evaluations.
Databases II Project
Race wise F1 data analytics
Streamlit app for F1 win/podium/top10 probabilities + model diagnostics (2023)
ML-based optimization of Formula 1 race strategies using 2024 season data.
A python tool for the analysis and visualization of Formula 1 telemetry data
Slick Telemetry frontend written in typescript with nextjs and vercel
An advanced and customizable F1 application with real time and historical data.
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