Ovulation calculator (cycle) app icon

Apps Like Ovulation calculator (cycle) for iPhone and iPad

by EONSOFT★ 3.02 ratingsMedicalFreeData updated 2026-09-09

Ovulation calculator (cycle) screenshots

Ranked alternatives

Showing 661–680 of 1,000 ranked alternatives.

  1. Haaw app icon

    Haaw

    TECH EXPONENT SYSTEM PRIVATE LIMITED

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06
  1. Period tracker • Freya app icon

    Period tracker • Freya

    Galilea, d.o.o.

    Monitor predict display women's cycles

    The app monitors, predicts, and displays women's cycles, including fertile and infertile days. It also tracks pregnancy, calculates due dates, and provides weekly development updates, all while ensuring user privacy.

    ★ 4.25 ratingsHealth & FitnessFreeData updated 2026-10-30
  2. Selene - BBT & Period Tracker app icon

    Selene - BBT & Period Tracker

    Satomi Furusawa

    Track periods, record BBT, predict ovulation

    Track menstrual cycles with cycle management and automatic next prediction. Visualize past cycle data and analyze variation patterns. Record basal body temperature daily with clear graphs to help predict ovulation.

    ★ 4.05 ratingsHealth & FitnessFreeData updated 2026-09-09
  3. Halza app icon

    Halza

    Halza Pte. Ltd.

    Track health data and share with doctors

    Manage family health with shared profiles, track children's growth and vaccinations, and store medical records securely. Share data with doctors globally and organize health information efficiently.

    ★ 5.04 ratingsMedicalFreeData updated 2026-09-12
  4. Luna Leaf app icon

    Luna Leaf

    Luna Leaf, INC

    Sync with your cycle and track hormones

    Track menstrual cycles with daily logging and phase identification. Receive personalized recommendations based on cycle stage. Monitor hormones, emotions, and physical symptoms. Set reminders for self-care and health goals.

    ★ 5.09 ratingsHealth & FitnessFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.