Apps Like U-TEST for iPhone and iPad
U-TEST screenshots
Ranked alternatives
Showing 101–120 of 1,000 ranked alternatives.


Moody Month: Hormone Tracker
We Are Moody Ltd
Track hormones and monitor cycles
Track hormonal changes throughout menstrual cycles, perimenopause, pregnancy, and postpartum. Input daily symptoms to receive mood and symptom predictions. Set reminders for self-care activities and view cycle history.






Cloudnine
Kids Clinic India Private Ltd
Track pregnancy, schedule appointments, access medical records
Schedule in-person or video consultations, manage lab tests and scans. View appointment details and reschedule as needed. Access clinical records and receive care updates directly through the .

Eveline Ovulation Cycle Track
iXensor Co. Ltd.
Fertility and analyze test results
Fertility by analyzing test strip results with 99% accuracy using the front camera. Record and view test results over time. Receive push notifications for fertility window updates. Sync data with a comprehensive dashboard for tracking and insights.

Period Tracker - Lively Cycle
0NUR ORHAN
Track cycles, log symptoms, predict ovulation
Track menstrual cycles with flow intensity logging and ovulation prediction. Set reminders for medications or appointments. View detailed charts and receive personalized insights to support fertility awareness and health decisions.






Period Tracker - Cycle Log App
Deebex Tech Ltd.
Track dates and view health data
Track menstrual cycles with detailed date tracking for periods, ovulation, and fertile days. Forecast ovulation and periods using predictive analytics. Review past cycles for pattern analysis. View data in charts and calendar format.

Momiary: Pregnancy Tracker
Chuong Tran Phuc
Track weeks and health updates
Track menstrual cycles and ovulation dates with daily logging and predictive analytics. Monitor symptoms like cramps and mood changes. Receive personalized health insights and reminders for prenatal checkups and medication.



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