Datasets & Analyses for Formula 1 World Championship
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Updated
Jul 8, 2025 - Jupyter Notebook
Datasets & Analyses for Formula 1 World Championship
Autonomous Literature Overview
Track Addict data renderer with video overlay
NTec Web is a modular, AI-driven automotive tuning interface that integrates real-time sensor data, advanced machine learning decision-making, and interactive front-end controls. It enables automatic and manual tuning adjustments, supports detuning during part degradation, and includes advanced features like active lambda control and aero systems.
All Formula 1 circuit layouts and their evolutions from 1950 to nowadays.
A fictional racetrack business (B2C) that offers trackdays, car hire, tuition and more.
Lua script for use with RaceCapture motorsports telemetry systems. This script enables RaceCapture systems to perform OBDII Service 0x22 querries on BMW vehicles.
A full-stack, AI-enhanced web platform for Formula 1 fans, analysts, and aspiring engineers. Combines real-time data, machine learning predictions, fan interaction, retrieval-augmented generation (RAG) components, and 3D explainers into one powerful application.
Your new favorite Mercedes Aftermarket Tuning Resource
A tool to create custom settings for the F1 23 game's driver career mode. Choices include random selections for team, teammate and tracks
Real-time data streaming device for track days, club racing and other motorsport events.
Holds debris caution data from the NASCAR Cup Series and includes a VBA-based web scraper to collect data
Predict Laguna Seca lap times using real car stats + deep learning (Neural Net + Optuna tuned)
A package to assist working with the Ergast API in R.
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