Apps Like Spring: Period tracker for iPhone and iPad
Ranked alternatives
Showing 101–120 of 1,000 ranked alternatives.




HiMommy: Ovulation & Pregnancy
Idea Accelerator Sp. z o.o.
Track cycles, plan fertility, manage
Track menstrual cycles and dates to identify fertile windows. Monitor progress with daily fetal development updates. Set reminders for prenatal appointments and medication. Share health data with healthcare providers.



The Moon Calendar
Laura Haworth
Track lunar cycles and receive daily self-care
View monthly lunar cycles tailored to your location and timezone. Receive daily -aligned self-care suggestions and astrology insights for each zodiac sign. Access weekly relationship insights based on your sign.



PMDD Tracker
Adam Cziko
Track cycle, note symptoms, generate reports
Track menstrual cycles with symptom logging and treatment tracking. Note physical and emotional symptoms. Generate printable reports for doctors. Customize tracking preferences. View visual summaries of cycle data.

Symptom Tracker - CareClinic
CARECLINIC SOFTWARE INC.
Track symptoms, manage medications, and monitor habits
Track symptoms, medications, and daily habits to identify patterns and triggers. Set reminders for medication and appointments. Create personalized health plans based on clinical guidelines. Monitor progress with charts and insights.




Period Tracker Widget
Laid-back Lion Apps Ltd
Track and fertility with widgets
Track menstrual cycle with date entry and average cycle length selection. Set daily pill reminders with customizable notification times. View fertility window and prediction. Use discreet home screen widgets to monitor cycle status at a glance.

Fertility & Period Tracker •
Med ART Studios LLC
Track periods, , and ovulation
Track menstrual cycles, windows, and ovulation dates. Record details and symptoms. Predict future cycles and windows. Sync data across devices. Set reminders for medications or appointments. Share data securely with healthcare providers.

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