am Alive! app icon

Apps Like am Alive! for iPhone and iPad

by SenzeHub Pte Ltd★ 0.00 ratingsProductivityFreeData updated 2026-09-06

Ranked alternatives

Showing 121–140 of 1,000 ranked alternatives.

  1. HabitApp: Habit Tracker app icon

    HabitApp: Habit Tracker

    StepsApp GmbH

    Track habits, set reminders, view progress

    Track daily habits and routines with step counting, progress charts, and interactive reminders. Sync with Apple Health and Apple Watch. Receive insights, awards, and 3D medals. View trends, totals, and records. Add custom widgets for easy access.

    ★ 4.8115 ratingsProductivityFreeData updated 2026-09-06
  2. Reflect - Track Anything app icon

    Reflect - Track Anything

    No Translation Layer LLC

    Habits, log data, analyze insights

    Mood, symptoms, sleep, diet, exercise, and productivity. Log daily entries and set recurring goals. Create experiments to test habits and analyze patterns. Generate insights and view progress over time.

    ★ 4.654 ratingsHealth & FitnessFreeData updated 2026-09-06
  3. Pauser: Heart Rate Monitor app icon

    Pauser: Heart Rate Monitor

    Pauser Inc

    Track and activity correlations

    Continuously and receive real-time alerts when it exceeds or drops below custom thresholds. Track stress levels through variability. Receive insights into how daily activities affect health and stress levels.

    ★ 5.02 ratingsHealth & FitnessFreeData updated 2026-09-06
  4. HabitLink: Habits with Friends app icon

    HabitLink: Habits with Friends

    Andrei Mikheev

    Track and see streaks

    Track habit streaks and completion rates progress visuals. Compare achievements and receive motivational check-ins. Set and join challenges to establish new routines. Customize habit schedules and receive reminders.

    ★ 4.630 ratingsProductivityFreeData updated 2026-09-06
  5. LogIO app icon

    LogIO

    Big Screen Entertainment Pty 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.