RunPandas - Python Package for handing running data from GPS-enabled devices to worldwide race results.

This repository is a demo running tracker app for the tutorial "Make a running tracker with Geolocation API"

MVVM Running Tracker App

비대면 러닝 챌린지 서비스 (SSAFY 7기 공통프로젝트 우수상 - 1등)

🌠 EPONA is a personal health tracker Android application. The application allows the user to monitor the performance for various activities such as running, step counting, diving, breath taking.

OpenHRStrap is an open-source DIY chest-strap heart-rate tracker built around the ESP32. It measures real biosignals through electrodes, filters the signal, and applies the Pan–Tompkins algorithm to detect R-peaks and compute heart rate in real time.

A race timing application for the Fog City Run

GPS Android app for tracking running workouts

Android Running Tracker App using Dagger Hilt ,Coroutines, Jetpack (Room, ViewModel, LiveData) based on MVVM architecture.

RunCrunch is a free running log, performance analysis tool, and visualizer. RunCrunch was created with the goal of providing free and powerful visuals beyond the scope of typical fitness services, while keeping your fitness data easily accessible in an intuitive, interactive user interface.

Runique is a multi-module, offline-first running tracker app that monitors your health, tracks your runs with real-time location, and supports both Android mobile and Wear OS platforms.

Running Data Analysis

tool to capture the screen on every 15 minute then automatically send the captured Image as email to targeted email and capture the every click time and the running application where you clicked and then rendered clicks as data visualization(each days,single day's click and so on)

Suwiboon / Node Implementation

MyFitScout: Your Personalized Health Navigator 🚀

React native running tracker

This is a full stack web application for tracking daily progress towards the goal of running 1000 miles in a year.

full working (demo) project of a MERN web application for a Running Scheduler / Journal actively used by myself for my running training and continously further developed