Apps Like EINath Fit for iPhone and iPad
Ranked alternatives
Showing 21–40 of 1,000 ranked alternatives.


Letsfit
Letsfit LLC
Track steps, sleep, and heart rate
Track steps, heart rate, sleep duration, and calories burned. Analyze exercise performance with detailed metrics. Receive professional interpretations of health data. Set fitness goals and monitor progress over time.



CO-FIT
Shenzhen Coding IOT Technology Limited
Sync steps, heart rate, and sleep data
Sync steps, calories, mileage, heart rate, sleep, and exercise data from the smartwatch. View data with an intuitive UI. Receive phone calls and texts on the watch. Configure sedentary alarms, schedules, backlighting, and other watch settings.



Tracker, Reminder - CareClinic
CARECLINIC SOFTWARE INC.
Track symptoms, manage medications, and monitor habits
Track symptoms, medications, and daily habits to identify patterns and triggers. Set reminders for medication and appointments. Create personalized health plans based on clinical guidelines. Monitor progress with charts and insights.

Perfect Body - Meal planner
KETO DIETS UAB
Track progress, plan meals, and workout adaptively
Create personalized plans based on dietary preferences like vegetarian or keto. Choose from various workout routines and track progress with daily challenges. Set fitness goals and monitor calorie intake and exercise performance.


Bloom - Wellness Buddy
Bastien Penalba
Track workouts, log meals, set goals
Track daily goals for exercise, nutrition, and mental health. Complete challenges to care for a virtual . Set personalized plans based on lifestyle and preferences. Receive nutrition tips and mindfulness exercises.








FlagFit 2.0
Shenzhen Ultra Easy Technology Co., Ltd.
Record steps and track calories burned daily
Track daily steps, calculate calories burned, and record exercise distance and time. Monitor exercise sessions with session-specific data. View daily, monthly, and historical statistics for activity and sleep analysis.

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