A cloud-native data pipeline and visualization project analyzing Formula 1 racing data using Azure, Databricks, Delta Lake, Tableau, and Python for insightful EDA and interactive dashboards.

Terminal UI: Dashboard for Formula-1

F1 Telemetry is a dashboard of Formula 1 real-time data.

Telemetry and dashboard utility for rFactor with trackmap, Formula 1-style timing and onboard telemetry utilities.

An interactive dashboard to display Formula 1 data and statistics

Dashboard em tempo real de Fórmula 1 consumindo dados da OpenF1 API.

Delta Dash - Real-time Formula 1 dashboard using Next.js and FastF1 for live telemetry, lap data, and session insights.

This is the Formula 1 data science and analytics project which includes various knowledgeable information, visualizations, dashboards and predictions.

Django application that utilises Dash-plotly package. It is used for creating tips for particular Grand Prix and also for displaying and evaluating tips on dashboard.

Live Formula 1 race intelligence dashboard that streams telemetry, timing, and driver positions to visualize races like a real pit wall.

dashboard for visualizing F1 statistics

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Terminal-based Formula 1 live telemetry dashboard, that syncs with VLC video playback.

AI-powered Formula 1 analytics engine leveraging FastF1, statistical modeling, and Streamlit dashboards to simulate real-world race engineering decision workflows.

Proof of Concept: F1 Prediction Hub is a state-of-the-art Formula 1 analytics dashboard powered by machine learning, providing comprehensive race predictions, historical insights, and driver analysis.

Microsoft PowerBi dashboard using the Formula 1 dataset.

Formula 1 Championship Analytics Dashboard built with Power BI to analyze driver performance, constructor dominance, race strategy, and historical F1 trends (1950–2024).

A live Formula 1 analytics dashboard built with Streamlit + Plotly, powered by the Jolpica F1 API

Formula 1 RESTful API with Dashboard | .NET 6 & Angular with Docker support

Interactive Formula 1 analytics dashboard powered by MySQL and Streamlit, featuring database-driven insights, triggers, and visualizations.

Explore Formula 1 data with F1 API Analytics. Extract, clean, predict and visualize data. Final dashboards available in the linked PDF.

End-to-end Formula 1 analytics pipeline using Azure Databricks, Delta Lake, and Azure Data Factory. Ingests, transforms, and visualizes F1 data from Ergast API with Power BI dashboards.

Open Source application for Analize F1 data and expose in a dashboard - Using a free API, it generates a system that allows analysis of the historical and current information of Formula 1 drivers and teams

F1 Telemetry Analytics Dashboard is a personal project that visualizes Formula 1 telemetry using Python, Streamlit, and FastF1. It turns raw race data into interactive insights like racing lines, speed heatmaps, braking zones, and driver comparisons—making complex motorsport data intuitive, visual, and engaging to explore.

With the 2024 seasons wrapping up, I pulled week by week College Football rankings and Formula 1 points standings into a Node-RED dashboard. Combining industrial automation with sports data was a blast, and a great way to show how REST API's with Node-RED might be used in industrial applications.

A comprehensive Formula 1 data analysis and visualization platform built with Streamlit and FastF1.

Formula 1 Dashboard with seasons data

Este projeto é um dashboard interativo desenvolvido com Power BI para analisar os dados históricos da Fórmula 1 de 1950 a 2020. Ele oferece insights sobre o desempenho de pilotos e equipes, além de mostrar tendências ao longo das décadas. Os dados foram consolidados a partir de 14 tabelas diferentes, mescladas no arquivo formula1_merged_data.csv.

F1 경기 스케쥴, 성적, 드라이버 정보 등 관련 데이터들을 확인할 수 있는 사이트입니다.

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