Apps Like DNA-i for iPhone and iPad
Ranked alternatives
Showing 41–60 of 1,000 ranked alternatives.


Sheep-Sleep
Sheep AI, Inc.
Track sleep patterns and adjust sessions weekly
Track sleep patterns through daily logs and visual graphs. Receive weekly AI-driven sessions based on CBT-I principles. Set goals and monitor progress over time. Adjust sleep environment settings for better rest.



Period tracker - roony
Jaber Alanazi
Track periods, log symptoms, set reminders
Track menstrual cycles with detailed calendar and symptom logging. Record flow duration and pain levels. Set reminders for medication or appointments. Sync data across devices and view historical trends. Share insights with healthcare providers.




Genomapp: Raw DNA Analysis
Ruben Fernandez Besa
Explore genetic data with visual insights
Analyze genetic data from DNA tests to understand health risks, ancestry, and traits. Visualize results through charts and graphs. Cross-reference findings with scientific studies. Import files from 23andMe, AncestryDNA, and other providers.






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.


Emergency Health Fix
Adam Fleischhacker
Connect with coaches and community members
Track daily nutrition and macronutrient intake with a customizable food diary. Set and monitor goals with progress tracking. Access virtual coaching sessions for personalized guidance. Join a private community for support while maintaining anonymity.


Urinify
ONMSOFT Inc.
Test urine at home and track results
Track urine data, activity levels, sleep patterns, and heart rate. Receive personalized feedback based on test results. Sync data across devices and view detailed analytics over time. Set reminders for testing and wellness goals.

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