Lua - Period Tracker app icon

Apps Like Lua - Period Tracker for iPhone and iPad

by Ovariant Pty Ltd★ 0.00 ratingsLifestyleFreeData updated 2026-09-06

Ranked alternatives

Showing 61–80 of 1,000 ranked alternatives.

  1. Ovul: Ovulation/Period Tracker app icon

    Ovul: Ovulation/Period Tracker

    Steward Technologies Ltd

    Track period, ovulation, and fertility

    Track menstrual cycles, ovulation, and fertility with detailed logging of period start and end dates. Calculate ovulation using algorithms and estimate due dates for pregnancy. Set reminders for medication or appointments.

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06
  2. Ovara app icon

    Ovara

    PCOS INNOVATIONS, LLC

    ★ 5.04 ratingsHealth & FitnessFreeData updated 2026-09-06
  3. Fertility and Period Tracker app icon

    Fertility and Period Tracker

    Anastasia Kovba

    Track cycles, predict ovulation, plan pregnancy

    Track by entering the first day of your last . Predict next , ovulation day, and fertile/least fertile days. Sync data with Apple Health for cross-device access.

    ★ 4.8241 ratingsMedicalFreeData updated 2026-09-08
  4. Period Tracker - Cycle Log App app icon

    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.

    ★ 4.212 ratingsHealth & FitnessFreeData updated 2026-09-06
  5. Tempdrop app icon

    Tempdrop

    Tempdrop Inc

    Track temperature trends overnight

    Track basal body temperature variations detected by the device. Identify hormonal changes linked to the menstrual cycle. Pinpoint ovulation dates and monitor cycle phases over time. Sync temperature data for consistent tracking.

    ★ 4.2692 ratingsHealth & FitnessFreeData updated 2026-09-06

How we rank alternatives

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