Formula 1 driver comparison and analyzing tool.

An naive anomaly detection and data visualization tool for F1 on board telemetry data.

Finding explainable models to predict Formula 1 Qualifying Results

Suzuka 2025 F1 race predictions by Otto.rentals — built for fans who love speed, stats, and bold visuals.

A Set Of Tools To Analyse F1 Sessions, Powered By The Fast F1 Library

Jeddah 2025 F1 race predictions by Otto.rentals — built for fans who love speed, stats, and bold visuals.

A comprehensive command-line tool for analyzing Formula 1 race data using the FastF1 library.

Miami 2025 F1 race predictions by Otto.rentals — built for fans who love speed, stats, and bold visuals.

Change my room's bulb colors based on F1 race leaders

Machine learning model that predicts Formula 1 race results for the 2025 Shanghai Grand Prix using historical performance data, team strengths, and driver characteristics. Features data visualization, team change handling, and position progression forecasting.

Estimate Formula 1 qualifying results using ML

A comprehensive conglomeration of Formula-1 data in an organised representation.

Analyze F1 telemetry data on past sessions. View driver and constructor standings

A Python repository for analyzing and visualizing Formula 1 data. Includes tools for race statistics, performance comparisons, and custom visualizations.

Formula Stats is a Django web app for exploring and visualising detailed Formula 1 data. It provides telemetry, lap times, tyre usage, and more with downloadable graphics. Ideal for F1 fans, analysts, and enthusiasts who want clean, insightful race visuals.

Personal Project working with the FastF1 API and hoping to practice data representation and management. Hope to create a fully fleshed out UI that can help new Formula Fans to understand and read the data in a digestible and understandable manner.

Real-time Formula 1 API with live timing, standings, session info, weather & car positions using FastF1, OpenF1, and Flask.

This project builds a machine learning model to predict F1 qualifying lap times using telemetry, weather, tyre, and driver performance data. The model is trained on data from 2021 to 2025 (up to Monaco GP) and makes predictions for the upcoming Spanish GP 2025.

Attempts to predicts the best fantasy F1 team using 50 years of historical data.

A REST API providing comprehensive Formula 1 statistics, built with Django and FastF1.