SparkyFitness---Garmin

SparkyFitness---Garmin

Docker app from grtgbln's Repository

Overview

SparkyFitness is a comprehensive fitness tracking and management application designed to help users monitor their nutrition, exercise, and body measurements. It provides tools for daily progress tracking, goal setting, and insightful reports to support a healthy lifestyle.
This is the Garmin integration microservice container.

SparkyFitness

A self-hosted, privacy-first alternative to MyFitnessPal. Track nutrition, exercise, body metrics, and health data while keeping full control of your data. image

SparkyFitness is a self-hosted fitness tracking platform made up of:

  • A backend server (API + data storage)
  • A web-based frontend
  • Native mobile apps for iOS and Android

It stores and manages health data on infrastructure you control, without relying on third party services.

Core Features

  • Nutrition, exercise, hydration, sleep, fasting, mood and body measurement tracking
  • Goal setting and daily check-ins
  • Interactive charts and long-term reports
  • Multiple user profiles and family access
  • Light and dark themes
  • OIDC, TOTP, Passkey, MFA etc.

Health & Device Integrations

SparkyFitness can sync data from multiple health and fitness platforms:

  • Apple Health (iOS)
  • Google Health Connect (Android)
  • Google Health API
  • Fitbit
  • Garmin Connect
  • Withings
  • Polar Flow
  • Hevy (not tested)
  • OpenFoodFacts
  • USDA
  • Fatsecret
  • Nutritioninx
  • Mealie
  • Tandoor
  • Strava (partially tested)
  • Norish
  • Yazio (uses unofficial API)
  • Swiss Food Database
  • Free Exercise DB (Github)
  • Wger

Integrations automatically sync activity data such as steps, workouts, and sleep, along with health metrics like weight and body measurements, to your SparkyFitness server.

Optional AI Features (Beta)

SparkyAI provides a conversational interface for logging data and reviewing progress.

  • Log food, exercise, body stats, and steps via chat
  • Upload food images for automatic meal logging
  • Retains conversation history for follow ups

Note: AI features are currently in beta.

Installation

Choose one of the two ways to run SparkyFitness:

1. Self-Hosted

Get a SparkyFitness server running in minutes using Docker Compose:

# 1. Create a new folder
mkdir sparkyfitness && cd sparkyfitness

# 2. Download Docker files only
curl -L -o docker-compose.yml https://github.com/CodeWithCJ/SparkyFitness/releases/latest/download/docker-compose.prod.yml
curl -L -o .env https://github.com/CodeWithCJ/SparkyFitness/releases/latest/download/default.env.example

# 3. (Optional) Edit .env to customize database credentials, ports, etc.

# 4. Start the app
docker compose pull && docker compose up -d

# Access application at http://localhost:8080

Note: For other self-hosted installation methods, refer to the documentation at https://codewithcj.github.io/SparkyFitness/.

2. Cloud (for non-technical users)

If you are not a technical user and prefer not to run SparkyFitness on your own server, you can deploy a hosted instance in the cloud using one of the following providers.

Run on PikaPods
Deploy with Zenith

Note: These are independent third-party services. We encourage you to explore features provided by each provider to determine the one that best fits your needs.

🎥 Video Tutorial

Watch the video

Quick 2-minute tutorial showing how to install SparkyFitness (self-hosted fitness tracker).

Documentation

For full installation guides, configuration options, and development docs, please visit our Documentation Site.

Quick Links

Need Help?

  • Post in Github issues/discussion.
  • For faster response and get help from other community memebers Join our Discord

Star History

Star History Chart

Translations

Weblate Translations

Translation status

Repository activity

Alt

Contributors

⚠️ Known Issues / Beta Features ⚠️

SparkyFitness is under active development. Breaking changes may occur between releases.

  • Auto-updating containers is not recommended
  • Always review release notes before upgrading

The following features are currently in beta and may not have been thoroughly tested. Expect potential bugs or incomplete functionality:

  • AI Chatbot
  • Family & Friends access
  • API documentation

Media gallery

Install SparkyFitness---Garmin on Unraid in a few clicks.

Find SparkyFitness---Garmin in Community Apps on your Unraid server, review the template, and click Install. Unraid handles the Docker app or plugin setup from the published template.

Open the Apps tab on your Unraid server Search Community Apps for SparkyFitness---Garmin Review the template variables and paths Click Install

Requirements


        Requires SparkyFitness containers.
    

Download Statistics

105,319
Total Downloads
21,680
This Month
16,911
Avg / Month

Total Downloads Over Time

Loading chart...

Related apps

Details

Repository
codewithcj/sparkyfitness_garmin:latest
Last Updated2026-06-27
First Seen2025-10-01

Runtime arguments

Web UI
http://[IP]:[PORT:8000]/
Network
sparkyfitness
Privileged
false

Template configuration

API PortPorttcp

Container Port: 8000

Target
8000
Default
8000
Value
8000
Garmin Microservice URLVariable

URL of the Garmin microservice (e.g., http://IP_ADDRESS:8000)

Target
GARMIN_MICROSERVICE_URL
Default
http://IP_ADDRESS:8000
Value
http://IP_ADDRESS:8000
Garmin Microservice PortVariable

Port number for the Garmin microservice. Must match port defined in GARMIN_MICROSERVICE_URL

Target
GARMIN_SERVICE_PORT
Default
8000
Value
8000
China RegionVariable

Set to true if you are in China to use the China Garmin servers

Target
GARMIN_SERVICE_IS_CN
Default
false|true