# CodeWithCJ/SparkyFitness

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

Repository: https://github.com/CodeWithCJ/SparkyFitness
Canonical: https://ross.abutalabs.com/products/sparkyfitness
Homepage: https://codewithcj.github.io/SparkyFitness/
Language: TypeScript
License: NOASSERTION
License Family: other
Topics: ai, artificial-intelligence, fitness, fitness-app, fitness-tracker, health, health-coaching, healthcheck, self-hosted, selfhosted
Last push: 2026-08-26T22:32:53+00:00

## Health v2 (maintenance only)
Score: 81/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 31
- inputs: {"age_days": 438, "days_push": 7, "days_rel": 7, "gap_med": 2.0, "n_releases_24m": 103}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5650, forks 335 (observed 2026-08-28T04:09:26.952543+00:00)

## What it is
SparkyFitness is a self-hosted, privacy-first alternative to MyFitnessPal for tracking nutrition, exercise, body metrics, water intake, and health goals, with AI-powered chat-based food logging and image recognition. It is a full-stack application (React frontend, Node.js/Express backend, PostgreSQL) designed for family use and Docker deployment.

## Use cases
- self-hosted myfitnesspal alternative
- track food and nutrition with ai
- log meals by photo with image recognition
- track workouts and body measurements
- family fitness and health tracking
- keep fitness data private on my own server
- ai nutrition coach chatbot

## When to choose
- you want full control and privacy over your health data
- you want a free alternative to MyFitnessPal you can self-host
- you want AI-assisted food logging via chat or photos
- you want to track nutrition, exercise, and body metrics for multiple family members

## When to avoid
- you want a polished managed mobile app with no hosting effort
- you need guaranteed professional support or compliance for clinical use
- you don't want to run Docker/PostgreSQL or manage a server

## Facets
- artifact type: application
- maturity: active
- function: chatbot, analytics, self-hosted, developer-tools
- domain: healthcare, developer-tools, self-hosted, artificial-intelligence
- platform: self-hosted, cross-platform
- tags: fitness-tracker, nutrition-tracking, myfitnesspal-alternative, health-coaching, privacy-first, ai-nutrition-coach, exercise-logging, body-measurements, family-sharing, docker, web-server, nodejs, typescript

## Member repositories
- CodeWithCJ/SparkyFitness (main) score 81

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:26.952543+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:55:16.416038+00:00, confidence not recorded.
  - readme: https://github.com/CodeWithCJ/SparkyFitness (fetched 2026-08-28T04:09:26.952543+00:00, sha 493269c6a6af)
  - homepage: https://codewithcj.github.io/SparkyFitness/ (fetched 2026-08-29T08:49:59.449471+00:00, sha d8fa178861a4)
- Data as of 2026-08-30T08:39:29.467469+00:00.