Apps Like Simple Period Tracker for iPhone and iPad
Track periods, predict cycles, organize your calendar
Track menstrual cycles with logging and date prediction. View cycle calendars and analytics. Set reminders for upcoming periods. Sync data across devices for consistent tracking.
Ranked alternatives
Showing 161–180 of 1,000 ranked alternatives.


Period Cycle Tracker
SULE ERDOGAN
Track periods, ovulation, and patterns
Track menstrual cycles, ovulation days, and fertile windows with a clean interface. Log symptoms, set reminders, and view charts. Predict ovulation and track fertility awareness.

Lu Period Tracker, Ovulation
Artyom Abramov
Track cycle dates and body changes
Track menstrual cycles and health symptoms with detailed logging of dates, duration, and heaviness. Record associated symptoms and monitor bodily changes. Receive predictions for cycle start and end.




Vio Period Tracker Cycle Diary
Kiril Zhyla
Track menstrual cycles and symptoms
Track menstrual cycles with detailed logging and visual analytics. Calculate ovulation and fertile windows automatically. Monitor symptoms, steps, water intake, and other health metrics. Set reminders and receive alerts for key events.

iPeriod Period Tracker +
Winkpass Creations, Inc.
Track health, gain personalized insights.
The app offers comprehensive tracking of periods, ovulation, and fertility. It allows users to log over 80 symptoms and provides customizable reminders for various health needs.

iFertracker
Raiing Medical Company
Track temperature for conception timing.
The app tracks basal body temperature to help users identify fertile windows and predict ovulation. It visually illustrates menstrual cycles and provides BBT charts for medical consultation.





Feminine Calendar
SYNAPSE SOLUCOES TECNOLOGICAS LTDA
Estimate fertile and unfertile periods.
The app forecasts fertile and unfertile periods for women. It estimates the most possible dates for conception based on cycle length and last ovulation date.






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