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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A Python-based GUI tool for visualizing F1 telemetry with multiple data representations.
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.
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
F1 RACE STATISTICAL ANALYSIS
Machine Learning pipeline for predicting Formula 1 2025 driver scores (Proxy-Grid), including Monte Carlo simulations and past season evaluations.
Databases II Project
ML-based optimization of Formula 1 race strategies using 2024 season data.
Streamlit app for F1 win/podium/top10 probabilities + model diagnostics (2023)
Race wise F1 data analytics
A python tool for the analysis and visualization of Formula 1 telemetry data
Slick Telemetry frontend written in typescript with nextjs and vercel
Python program that shows statistics about the F1 world championships.
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