Mood Pulse Log app icon

Apps Like Mood Pulse Log for iPhone and iPad

by Mohamed Boufnichel★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06

Ranked alternatives

Showing 341–360 of 1,000 ranked alternatives.

  1. Borderline Mood Tracker - BPD app icon

    Borderline Mood Tracker - BPD

    Mihai Ghiserel

    Track moods and log emotional patterns

    Track changes by recording depression, anxiety, and irritability levels. Select associated symptoms and activities for personalized insights. View historical data and patterns over time. Set reminders and note triggers for emotional well-being.

    ★ 4.529 ratingsHealth & FitnessFreeData updated 2026-09-06
  1. Momentia app icon

    Momentia

    Stellar Cartography, LLC (Apps)

    Track mood, reflect, build habits

    Track mood with quick log entries. Explore guided reflections for emotional insight. Identify trends and patterns over time. Receive daily AI-generated encouragement. Build micro-habits for mental wellness.

    ★ 5.06 ratingsHealth & FitnessFreeData updated 2026-09-06
  2. MindCircuit app icon

    MindCircuit

    stop and breathe inc

    Track mood, manage stress, and reflect daily

    Track mood patterns and identify emotional triggers. Set daily goals for mindfulness and relaxation. Access guided breathing exercises and journaling prompts. Receive personalized insights and progress reports.

    ★ 5.014 ratingsHealth & FitnessFreeData updated 2026-09-06
  3. MoodWise app icon

    MoodWise

    Ellen Lien G Probst

    ★ 5.02 ratingsHealth & FitnessFreeData updated 2026-09-06
  4. DayDew - Journal, Diary, Notes app icon

    DayDew - Journal, Diary, Notes

    CRIMSON LABS

    Capture moments, track progress, reflect daily

    Track daily activities and reflections with freeform . Create and manage to-do lists for organizing tasks and goals. Set reminders and sync data across devices. Export entries and share content with others.

    ★ 5.08 ratingsLifestyleFreeData updated 2026-09-06

How we rank alternatives

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