Apps Like Women Who Fast for iPhone and iPad
Women Who Fast screenshots
Ranked alternatives
Showing 601–620 of 1,000 ranked alternatives.
Buff Chick Supplements
Buff Chick LLC
Train with confidence and precision
Track menstrual cycles with detailed calendars and symptom logging. Set reminders for and workouts. View performance metrics and progress over time. Sync data with fitness apps and export reports.
Zeno: Self-Improvement App
Zeno App Pty Ltd
Train with programs, track progress, build habits
Learn and apply new habits with personalized programs for strength training, meditation, fasting, flexibility, and breathwork. Track progress, set goals, and access expert-designed content for all skill levels. No subscription required.
Gestational Diabetes Tracker°
Hussain Mustafa
Track blood glucose levels and log meals
Track blood glucose levels with fasting, pre-meal, post-meal, and bedtime entries. Log meals and snacks with food descriptions. Export logs as shareable PDF reports. Set reminders for glucose checks and medication.
Glycemic Snap: Index & Load
Prestige Worldwide Apps LLC
Snap meals, track blood sugar impact
Take a photo of a meal to analyze its and load. View a predicted blood sugar curve for the entire meal. Use voice or text to describe a meal and receive instant analysis without a camera.
Optimal AI: Calorie Counter
Vansh Shah
Scan food and log macros instantly
Scan food items with the camera to instantly log calories, protein, carbs, and fats. Identify meals and snacks automatically using AI. Track macros without manual entry or database searching.
AI Calorie Tracker & Scanner
OUTDOING APPS PRIVATE LIMITED
Log meals, track macros, count calories
Track food intake by snapping photos or scanning barcodes. Instantly identify items and display counts and nutrition details. Log meals and monitor macros without manual entry. Set goals for weight loss, fitness, or healthier eating habits.
LowCarb Life
SOUL FOOD HEALTHY MIND SOCIETA' TRA PROFESSIONISTI A RESPONSABILITA' LIMITATA
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.