Apps Like Moobly: Track & Forecast Mood for iPhone and iPad
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.



Bipolar Mood Tracker App
ALLEGRO DIGITAL LTD
Record moods, track patterns, note triggers
Record entries with notes and tags. Track daily highs and lows. Log habits and symptoms affecting emotional patterns. View historical data and trends over time. Set reminders and share insights securely with healthcare providers.



Mood Tracker: Moodline
Alexey Primechaev
Track and view monthly trends
Track with one-tap logs and optional notes. View monthly trends and compare to past entries. Set daily reminders up to nine times. Maintain a private journal for thoughts and reflections.

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.


cartha | ai mental support
CARTHA AI, INC.
Talk to AI, get honest insights
Talk to an AI companion for . Share feelings, reflect, and gain insights. Receive honest, non-empathetic responses. Set personal goals and track progress over time. Explore prompts for self-discovery and growth.

Eating Buddy - Food Journal
Sagital SRL
Track meals, log cravings, and reflect
Log meals and note how they made you feel. Track hunger, fullness, and urges. Set intentions for . Reflect on patterns over time to make more mindful choices.



iMoodJournal - Mood Diary
Inexika Inc.
Track mood, gain personal insights.
The app tracks mood, sleep, medication, and stress. It helps users discover causes of mood changes and gain insights.




Mood journal - MojiNote
Thi Doan Thi Quynh
Track moods and note daily feelings
Track daily moods by selecting a and adding notes. View entries on a calendar and review insights over time. Set dates and describe reasons for changes to better understand emotional patterns.



How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.