Apps Like Hey Taylor for iPhone and iPad
Hey Taylor screenshots
Ranked alternatives
Showing 101–120 of 1,000 ranked alternatives.
Johns Hopkins Menopause Guide
Unbound Medicine, Inc.
Track symptoms and manage care
Provides information on symptoms, treatments, and management tools. Includes quick-read entries organized by topic. Offers content updates and supports healthcare providers in care. Allows users to access symptom details and treatment options.
Period Tracker. Cycle Calendar
Tatyana Kolesnikova
Track , set reminders, log periods
Track menstrual cycles with a to predict periods, ovulation, and fertile days. Receive notifications for start and contraceptive pill intake. Sync data across devices using iCloud. Calculate next and plan contraception or pregnancy.
Taylor Rehab Physical Therapy
Taylor Rehab
Access home exercises and messages
Access personalized home exercise programs with HD instructional videos. View and complete exercises, track progress through trophies and medals. Communicate securely with providers via the messages tab. Switch between languages for program content.
Health & Her App
Health & Her Ltd
Track cycles, manage hormones, get expert support
Track menstrual cycles, symptoms, and hormonal changes. Set reminders for contraception or hormone therapy. Access educational content on women’s topics. Log daily habits and receive personalized habit-building suggestions.
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.
Apple Research
Apple Inc.
Track health data and contribute
Track health data from Watch and iPhone. Participate in studies to contribute to health insights. Set goals for physical activity and sleep. View progress reports and receive notifications for health metrics.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.