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

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

Estimate Formula 1 qualifying results using ML

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

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.

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

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.

The Briefing Room is an open source tool, that lets you analyse telemetry data from any Formula 1 session starting from the 2021 season. Built with Flask, data provided by the FastF1 package. 🏎️⚡️

F1 Live Data project

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

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

Publish SignalR live data from fastf1 to a Kafka topic.

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

formula-crunch crunches Formula1 race data

Analysing historical F1 data