https://github.com/rfivesix/train-libre
Modern privacy-first fitness and nutrition tracking app with workouts, analytics, and health integrations
https://github.com/rfivesix/train-libre
ai android bodybuilding calorie-calculator calories calories-calculator calories-tracker dart fitness flutter health healthcare-ai healthkit ios nutrition nutrition-tracker offline-first workout workout-tracker
Last synced: 14 days ago
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Modern privacy-first fitness and nutrition tracking app with workouts, analytics, and health integrations
- Host: GitHub
- URL: https://github.com/rfivesix/train-libre
- Owner: rfivesix
- License: mit
- Created: 2025-09-15T13:38:47.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2026-05-02T20:30:51.000Z (about 1 month ago)
- Last Synced: 2026-05-02T20:32:39.324Z (about 1 month ago)
- Topics: ai, android, bodybuilding, calorie-calculator, calories, calories-calculator, calories-tracker, dart, fitness, flutter, health, healthcare-ai, healthkit, ios, nutrition, nutrition-tracker, offline-first, workout, workout-tracker
- Language: Dart
- Homepage:
- Size: 123 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
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README
# Hypertrack
Hypertrack is an offline-first fitness app for **workouts, nutrition, analytics, sleep, steps, measurements, and supplements**.
It is designed primarily for **experienced lifters and gym-focused athletes** who want structured tracking, clear long-term progress analysis, and practical recommendations **without gamification**. Hypertrack focuses on **privacy-friendly local data handling**, **transparent analytics**, and features that are intended to be understandable, evidence-informed, and mathematically grounded where appropriate. It can be used as a simple logging app but its main goal is to go beyond logging without becoming noisy, gimmicky, or opaque.
## Install
Official app stores
Alternative Android distribution
## Highlights
- **Workout tracking** with structured sets, history, and session review
- **Nutrition tracking** with calories, macros, and adaptive weekly intake guidance
- **Statistics and analytics** for performance, consistency, muscle volume, recovery, and body/nutrition trends
- **Sleep and steps integration** for broader recovery and activity context
- **Supplement tracking**, including caffeine, creatine, and custom supplements
- **Offline-first local data handling**
- **One-way export** to Apple Health and Google Health Connect
- **Optional AI meal features** with BYOK setup
- AI is **disabled by default**
- no mandatory cloud account
- no provider-managed in-app billing flow
## Core features
### Workouts
- Log full workout sessions
- Track exercises set by set
- Support warm-up, standard, failure, and dropset-style set logging
- Track reps, weight, and RIR
- Review workout history and post-workout summaries
- View workout heart-rate summaries and workout-detail heart-rate charts where data is available
### Nutrition
- Log foods, meals, and nutrition entries
- Track calories and core macros
- Track additional nutrition values such as fiber, sugar, and salt/sodium where available
- Use adaptive weekly nutrition recommendations based on the current Bayesian estimator
- Use optional AI-assisted meal capture with your own API key
- Export aggregate nutrition data to Apple Health and Google Health Connect
### Statistics
- Performance and PR-oriented views
- Consistency tracking
- Muscle-volume-related analysis
- Recovery-focused insights
- Bodyweight and calorie trend analysis
- Sleep and steps context inside the statistics area
### Sleep and steps
- Import and aggregate step data
- Import, process, and visualize sleep data
- Sleep day, week, and month views
- Sleep detail screens and scoring
- Sleep and steps integration into the broader analytics experience
### Measurements
- Log bodyweight and body measurements
- Track changes over time in charts
- Export supported measurements to Apple Health and Google Health Connect
### Supplements
- Track caffeine and creatine
- Track custom supplements
- Review supplement intake over time
## Health integrations
Hypertrack supports **one-way export** to:
- **Apple Health**
- **Google Health Connect**
This includes supported app-recorded data such as:
- measurements
- aggregate nutrition
- hydration
- workout sessions
Hypertrack remains the source of truth for its own tracking and analytics.
## Privacy and local-first philosophy
- Hypertrack is **offline-first**
- app data is handled locally by default
- AI meal features are **optional** and **disabled by default**
- AI usage is **BYOK only** (bring your own API key)
- no mandatory cloud account is required to use the app
## Documentation
- [Project Overview](documentation/overview.md)
- [Adaptive Nutrition Recommendation](documentation/adaptive_nutrition_recommendation_current_state.md)
- [Statistics Module](documentation/statistics_module.md)
- [System Architecture](documentation/architecture.md)
## Credits
- **[Open Food Facts](https://openfoodfacts.org/)** for food database coverage
- **[wger](https://github.com/wger-project/wger)** for the workout database foundation
## License
[MIT](LICENSE)