Apps Like Stellar Pulse: Smart Tracker for iPhone and iPad
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.



Water Tracker - Drink Daily
Sensussoft Software Private Limited
Track intake and set hydration goals
Track intake with customizable hydration goals based on age, weight, activity level, and environment. Set reminders for regular breaks. View detailed insights on consumption patterns and progress over time.





Foodspark: Food Log & Tracker
foodspark LLC
Track macros, adjust goals, log meals
Track macros and calories with personalized goal setting for weight loss, muscle gain, or wellness. Log meals and supplements, view nutritional breakdowns, and adjust targets based on progress.

Shelog AI Food Journal Scanner
Lighter Life Limited
Track calories, log meals, stay motivated
Snap and track meals using AI-powered photo recognition to automatically calculate calories. Log meals manually with detailed databases. Set daily calorie goals and monitor progress. Receive personalized feedback and motivational prompts.



Numa - Calorie Tracker
Christo Todorov
Track calories, protein, and water intake
Track daily calories, protein, and water intake with a clean dashboard. View fat and carb breakdowns as needed. Log meals quickly using intelligent food suggestions. Receive adaptive reminders to stay on track.



Dosy Health
Nora Technologies LLC
Track meals and sync with Apple
Track meals by snapping photos, speaking, or searching for foods with detailed nutrition data. Log calories, protein, and other nutrients. Sync with Apple and iCloud for seamless data management. Set and monitor GLP-1 medication goals.


Lifie - Calorie Tracker
Mobifik Yazilim ve Reklam Teknolojileri Ltd. Sti.
Track calories, macros, and steps
Track calories and macronutrients with personalized goals and recommendations. Log exercises and steps synced with Apple Health. Set smart reminders and receive suggestions. Analyze body measurements and detailed nutrition data for 1000s of foods.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.