Apps Like Fastic Weight Loss & Fasting for iPhone and iPad
Fastic Weight Loss & Fasting screenshots
Ranked alternatives
Showing 221–240 of 1,000 ranked alternatives.
Simple Fasting Tracker
Mamta Shah
Track schedules and monitor weight metrics
Set personalized and weight goals. Create custom schedules. Track weight, body fat percentage, waist circumference, BMI, and other metrics. Receive reminders and monitor progress over time. Adjust schedules based on real-time data.
Pipo AI - Workouts & Diet Pal
Digital Trend AS
Track meals, , and progress
Track , log meals by scanning food, and monitor progress through a virtual pet. Set fitness goals, receive AI-driven feedback, and complete intermittent fasting schedules.
Fastra: Intermittent Fasting
Liam Baev
Track duration and progress
Track periods using 16:8, 18:6, 20:4 protocols or custom durations. Monitor weight and water intake with data from smart scales and bottles. View history, fat-burning time, and personal records. Receive personalized recommendations based on progress.
Lose Weight in 30 Days-Fitness
APPWILL COMPANY LTD
Track calories, workouts, and meals
Track calories and log food intake to maintain a deficit. Follow personalized workout plans and meal schedules. Perform home exercises targeting fat loss and muscle tone. Set fitness goals and monitor progress over time.
Sofast: Intermittent Fasting
MOBNESS LTD
Track progress, plan meals, get advice
Track schedules and meal times. Receive personalized meal plans and expert advice. Monitor progress with detailed analytics and set goals for weight loss. Sync data across devices and access educational content on .
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.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.