Apps Like MyCalorieCycle for iPhone and iPad
Ranked alternatives
Showing 41–60 of 1,000 ranked alternatives.


Spren Body Composition Scanner
Elite HRV Inc
Track BMI and fat with scans
Track fat and BMI using advanced calculators with smartphone-based scan technology. Generate detailed health reports including analysis and BMI insights. Monitor fitness progress with research-based workout recommendations and performance tracking.




Fit Journey - Not Just Weight
哲人 朱
Track fitness progress with graphs and photos.
The app tracks weight, body fat, and measurements with graphs and photos. It allows users to record diet, workouts, and other notes, while providing data backup and sync services across devices.

Power Sync: Fitness to Health
HDIDI LTD
Sync Fitbit data to Apple
Syncs Fitbit data with Apple including steps, workouts, weight, and sleep analysis. Retrieves and transfers data securely without storing it. Allows one-click integration of complete Fitbit history.





Calories
Piet Jonas
Track daily calories and set limits.
The app tracks daily calories and helps users set limits. It calculates daily limits using basal metabolic rate and Body Mass Index to inform diet decisions.


Zing AI: Home & Gym Workouts
Zing Coach Inc.
Train with AI-powered
AI Coach provides personalized workout plans based on user goals and fitness levels. Tracks progress with real-time form feedback and adjusts routines as needed.


Lean AI Food & Calorie Scanner
Franck BARRIERE
Track calories and analyze meals
Take a photo of your body to analyze body composition. Use AI Scan to quickly analyze meals and track nutrients. Monitor intake and metabolic rate. Set and track fitness goals. Sync data across devices.

MeThreeSixty: 3D Body Scan・BMI
Size Stream LLC
Capture measurements with your camera
Capture measurements using front and side camera images. Track progress over time. Build a 3D avatar. Set and monitor goals. Compare measurements across sessions. Share progress with others.



How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.