Showing 21–40 of 1,000 ranked alternatives.
AppManage LLC
Track cycles, predict ovulation, log fertility days
Track menstrual cycles with a to predict and visualize future periods, fertile days, and ovulation. Log dates and symptoms. Set reminders for birth control or contraceptives. View charts and statistics for patterns. Sync data across devices.
Luni
Track cycles, predict symptoms, track fertility window
Track menstrual cycles and predict PMS, , and fertility phases. Log symptoms, mood, and habits. View ovulation dates and fertility windows. Learn to understand bodily patterns and track health trends.
Tamtris Web Services Inc.
Track ovulation and chart cycles
Track period cycles and signs like BBT, cervical fluid, and OPKs. Log symptoms and identify fertile days. View cycle patterns and receive reminders for tracking. Share data with healthcare providers.
Sevenlogics, Inc.
Track periods, moods, and symptoms
Track menstrual cycles with mood, symptoms, and notes logging. View predicted and fertility dates. Sync with weather data. Customize themes, fonts, and icons. Set reminders and receive alerts. Export data and share insights.
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.
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.
String Health, Inc.
Track periods, ovulation, and data
Track menstrual cycles, ovulation, and with secure data encryption and private key protection. Store health information securely and delete data at any time. Data is not shared or sold to third parties. Co-developed with health and medical experts.
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.