Roll your own tracker!

SparkyFitness: Built for Families. Powered by AI. Track food, fitness, water, and health — together.

A workout tracking web application for personal use (or family, friends), geared towards running and other GPX-based activities

FastNFitness Android app: Body, Cardio and Fitness tracking.

AI-powered fitness assistant for real-time pose estimation, exercise counting, and workout feedback.

Extracting meaningful health information from large accelerometer datasets

A workout journal. Mirror of https://codeberg.org/iamlooker/kenko

Self hosted web analytics for endurance athletes

Repository for FOSS fitness tracking app Simple.

ExerciseDB API is an fitness exercise database api that allows users to access high-quality exercises data which consists 11000+ exercises. This API offers extensive information on each exercise, including target body parts, equipment needed, video, gifs, images for visual guidance, and step-by-step instructions.

WARNING: This repository is no longer maintained :warning: This repository will not be updated. The repository will be kept available in read-only mode. Refer to https://developer.ibm.com/patterns/category/blockchain/ for other blockchain code patterns.

An AI model used to help with the workout session by keeping track of counts and movement.

Android example showing Bluetooth communication with Xiaomi Mi Band 2. Demonstrates device pairing, data syncing, activity tracking, heart rate monitoring, and notification handling. Provides reference code for wearable device integration.

Make use of the power of Mediapipe’s pose detection, this project is built in order to analyze, detect and classifying the forms of fitness exercises.

RunTrack is a Running Tracking app made using Modern Android Development (MAD), including Jetpack Compose, MVVM architecture, and Google Maps API. The app allows users to track their running activities and displaying real-time routes on an interactive map.

Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]

Analyzing all my Quantified Self data

Pipe your Activity Data from Strava directly into Home Assistant

Minimalist fitness tracker inspired by FitNotes.

Mobile application for exploring fitness data using both speech and touch interaction.

A workout tracker for iOS that includes cycling, running, as well as strength exercises. Supports Bluetooth sensors.

A simple workout tracker app, to keep track of your progress.

Bluetooth LE app for TomTom GPS watches: Runner, MultiSport, Cardio, Spark, Runner v2

Example scripts for parsing data exported by popular fitness tracking devices and apps. Created for this article: https://towardsdatascience.com/parsing-fitness-tracker-data-with-python-a59e7dc17418

Improved Step Counting via Foundation Models for Wrist-Worn Accelerometers

An AI-powered fitness tracker that uses real-time pose estimation to count reps, monitor form, and provide instant feedback for exercises like squats, push-ups, and bicep curls. Designed for accuracy, motivation, and adaptability

Arduino bike computer: live speed, distance, ride logs

Public site

Python 3.x library to access Garmin Connect Health API

Tool to manipulate and analyse swim data as provided by Garmin devices.