Apps Like TrackFit for iPhone and iPad
TrackFit screenshots
Ranked alternatives
Showing 141–160 of 1,000 ranked alternatives.
Hava – Lose weight, feel full
Diet Doctor Sweden AB
Snap meals, track calories, stay
Track meals by snapping photos for instant feedback and guidance. Log food intake without calorie counting or nutrition knowledge. Receive portion size suggestions to eat half as much without hunger.
Wellness Coach - MyHealth
TERRAILLON
Track progress, set goals, share data
Track weight and body composition with daily logs and trend analysis. Monitor blood pressure, body temperature, and sleep patterns. Record nutrition intake and physical activity. Share data with friends or doctors.
Wiscale - iPad version for weight and blood pressure only
Withings
View health data on iPad.
The app displays weight and blood pressure information on an iPad. Users can log into their Withings account to view logged data including weight and fat-mass.
WorkOther - Add Watch Workouts
晓东 林
Create , track progress, sync with Apple
Create custom for Apple and sync them to the device. Track heart rate to monitor fat burning intensity. Sync data with HealthKit for health insights. Set workout goals and view progress metrics. Export workout logs for review.
HealthKeeper: Track your Pulse
玲 罗
Health metrics and log data
Heart rate with real-time monitoring and historical data. Calculate BMI using height and weight inputs. Log health metrics like blood pressure and blood glucose. Set and monitor health goals.
Data Manager for Fitbit
Rong Liu
Sync Fitbit data to Apple Health
The app syncs Fitbit data to Apple Health. It tracks and visualizes health data including sleep, weight, steps, and calories.
Protien Counter° - ProteinPlus
Abhinav Khanger
Track protein intake and set goals
Track daily protein intake by logging food and supplements. Set and monitor protein goals. Access a database of common foods with their protein content. View progress over time. Adjust goals based on fitness needs.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.