Apps Like TrackTSW for iPhone and iPad
Ranked alternatives
Showing 501–520 of 1,000 ranked alternatives.



Fathom: Crohn's & Colitis Log
Fathom Care, Inc.
Track symptoms and log meals
Track symptoms, diet, and medication adherence. Log bowel movements and pain levels. Set reminders for meals and medications. Share notes with healthcare providers. Monitor mood and sleep patterns. Receive personalized insights based on tracked data.

Baby Care - Track baby growth!
笑明 贾
Track every change, capture smiles.
The app allows parents to log feeding, sleep, and diaper changes with photo and voice note support. It generates growth curves and charts, with special optimization for premature babies, and provides a visual timeline to establish routines.



Buildday - Mood Tracking
Bhargav Agravat
Track moods, uncover patterns, gain insights
Track daily moods with customizable entries and emotional ratings. Identify patterns and triggers affecting mental health. Set reminders for self-reflection. Export data for professional review. Sync with wearable devices to monitor stress levels.




Sheep-Sleep
Sheep AI, Inc.
Track sleep patterns and adjust sessions weekly
Track sleep patterns through daily logs and visual graphs. Receive weekly AI-driven sessions based on CBT-I principles. Set goals and monitor progress over time. Adjust sleep environment settings for better rest.

Wellth Health Tracker
Winkpass Creations, Inc.
Track vitals, symptoms, and habits
Track metrics including vitals, symptoms, food, medications, and exercise. Set reminders for habits and appointments. Sync data automatically across iOS devices using Apple ID. View visual calendar for patterns and family tracking.







Depuff AI: Reduce Facial Bloat
Aman Kumar
Track puffiness with AI analysis
Helps users puffiness through daily photo analysis of bloating patterns. It offers guided yoga and massage routines targeting specific areas. Users can snap meal photos to assess bloating potential and receive alternative suggestions.

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