Apps Like SympNote for iPhone and iPad
Ranked alternatives
Showing 201–220 of 1,000 ranked alternatives.



Poop Tracker & Gut Log - PooIQ
LSA MANAGEMENT SERVICES AUSTRALIA PTY LTD
Track bowel movements and analyze diet impact
Track bowel movements with AI analysis by snapping photos. Log symptoms, diet, and lifestyle factors. Receive insights linking habits to gut health. Set reminders and view progress over time. Sync data across devices for consistent monitoring.





Blood: Period & Cycle Tracker
PSLOVE PTE. LTD.
Track cycles, set reminders, view insights
Track menstrual cycles with predictions and health insights. Log symptoms, set reminders, and receive personalized feedback. Customize avatars to reflect mood and phase.

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.






LevelUp: Tally Counter Tracker
Sky Works, LLC
Track habits, mood, and progress daily
Track habits, symptoms, workouts, mood, and more with daily entries. View progress via bar charts and calendars. Add notes with one tap. Export data in multiple formats. Store data securely. No ads. Free for initial entries.



Embody Space
Embody Space, Inc.
Track cycles, manage symptoms, protect privacy
Track menstrual cycles with period logs, symptoms, and mood notes. Set reminders for hygiene products and ovulation. View cycle patterns and fertility windows. Export data securely and manage privacy settings.

Johns Hopkins Menopause Guide
Unbound Medicine, Inc.
Track symptoms and manage care
Provides information on symptoms, treatments, and management tools. Includes quick-read entries organized by topic. Offers content updates and supports healthcare providers in care. Allows users to access symptom details and treatment options.

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