Apps Like Weight Loss Assistant (WLA) for iPhone and iPad
Weight Loss Assistant (WLA) screenshots
Ranked alternatives
Showing 141–160 of 1,000 ranked alternatives.


Allurion
Allurion Technologies, Inc.
Track weight, steps, and sleep
Track weight, steps, sleep, and exercise using the Connected Scale and Health Tracker. Share data with healthcare providers, message clinics, and request support. Participate in video Telehealth calls. Access articles to support weight loss goals.


FitCal AI-Calorie Counter&Diet
Beijing Rayenergy Technology Co, Ltd.
Scan foods, track calories, generate recipes
Track calorie and macronutrient intake by scanning holiday foods. Generate personalized festive or keto-friendly recipes based on dietary preferences. Monitor weight loss progress and access fitness guidance for fat burning or muscle building.




Weight Loss Plan: Fat Gone
CREAM SOFTWARE RAFAL PLATEK
Track activities and
Track from daily activities, chores, or workouts. Monitor real-time calorie for over 1,100 exercises. Log physical activity without requiring a device. Set and view progress toward fitness goals.



Noyoyo: Weight & GLP-1 Tracker
Obvio s.r.o.
Track and progress
Track body and BMI with daily or weekly entries. Monitor medication effects and side effects. Sync with Google Health Connect and WITHINGS scales. Log activities and measurements. Set reminders. Share progress with friends.




Burn Fat Lite – Lose Weight with Bodyweight Workouts
WL Online Marketing LLC
Burn fat lose weight bodyweight workouts
The app offers fat burning and weight loss exercises using bodyweight workouts. Users can train their body whenever and wherever they want without gym equipment.




BodyBuddy: Weight Loss AI
Please Clap, LLC
Track progress, set goals, stay motivated
Track meals, exercise, sleep, and health with daily check-ins via iMessage. Text updates or snap photos of meals and activity. Set goals, monitor progress, and receive insights to support sustainable .

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