Apps Like Hello Inside for iPhone and iPad
Hello Inside screenshots
Ranked alternatives
Showing 201–220 of 1,000 ranked alternatives.




AI Period Tracker & Calendar
Hong Kong Jubilant Limited
Track cycle, ovulation, and pregnancy with AI
Track menstrual cycles, ovulation dates, and pregnancy milestones. Log symptoms and receive AI-driven insights. Set reminders for appointments and self-care suggestions. Sync data across devices and view detailed cycle charts.

Daily Habit Tracker • About Me
AboutMe Apps, Inc.
Track mood, set goals, and reflect
Track mood and activities with customizable goals and pre-set trackers. Sync with Apple Health to view detailed stats and graphs. Log entries, set reminders, and analyze patterns between mood, behavior, and health metrics.

Diabetic Recipes-Meal Planner
Riafy Technologies Private Limited
Plan meals, track blood sugar, shop smart
Plan meals with -friendly recipes focused on balanced nutrition and carb control. Track blood sugar levels and sync with glucose monitors. Generate shopping lists based on meal plans. Set reminders for medication and meals.

Wellify - Simplify Wellness
Southley Technology Limited
Monitor heart rate and blood pressure
Monitor heart rate and blood pressure for real-time health insights. Analyze sugar content in food for dietary awareness. Receive personalized health advice via AI. Track health metrics and set reminders for daily check-ins.


Glycemic Index Scanner
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.

Signos
Signos, Inc.
Track body metrics and receive real-time feedback
Track glucose levels in real time using paired biosensor data. Receive personalized feedback on how food, activity, sleep, and stress impact metabolism. Set goals for blood sugar management and view progress over time.







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