WAVS: PCOS & Cycle Syncing app icon

Apps Like WAVS: PCOS & Cycle Syncing for iPhone and iPad

Track cycles, log symptoms, stay private

Track menstrual cycles and symptoms with medical-grade symptothermal method support. Log symptoms, dates, and notes without an account. Export detailed medical reports for healthcare professionals.

by Madebetter LLC★ 5.019 ratingsHealth & FitnessFreeData updated 2026-09-06

Ranked alternatives

Showing 801–820 of 1,000 ranked alternatives.

  1. eGlobalDoctors app icon

    eGlobalDoctors

    EGLOBAL DOCTORS LLC

    Connect with doctors via video or phone

    Connect with board-certified doctors for medical consultations via phone or video. Request medical prescriptions as needed. Access 24/7/365 healthcare services including medical, surgical, pharmaceutical, and ancillary care.

    ★ 5.01 ratingsMedicalFreeData updated 2026-09-06
  2. viatza app icon

    viatza

    AI Garden Ltd

    Track symptoms, log medications, store medical records

    Track symptoms with intensity, notes, photos, and a timeline chart. Log and organize medications, view them on a timeline, and schedule dose reminders. Set customizable notification preferences for alerts and updates.

    ★ 4.01 ratingsMedicalFreeData updated 2026-09-06
  3. Clinity app icon

    Clinity

    Hello Health Group Pte Ltd

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06
  4. XYA app icon

    XYA

    Zero2mill Inc.

    ★ 5.01 ratingsHealth & FitnessFreeData updated 2026-09-06
  5. Mr Sniffles app icon

    Mr Sniffles

    Konsole Game Labs GmbH

    Record symptoms and sync with Apple Health

    Record symptom severity on a scale from none to heavy. Connect to Apple Health to view symptom data. Track patterns and trends over a week. Log symptoms and view historical data.

    ★ 0.00 ratingsHealth & Fitness$1.99Data updated 2026-09-06
  6. MMCare app icon

    MMCare

    Sanius Health Ltd

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06

How we rank alternatives

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