Apps Like TYFSC Symptom Log for iPhone and iPad
Ranked alternatives
Showing 41–60 of 1,000 ranked alternatives.





Period Tracker: Natural Cycles
AppManage LLC
Track cycles, predict ovulation, log fertility days
Track menstrual cycles with a to predict and visualize future periods, fertile days, and ovulation. Log dates and symptoms. Set reminders for birth control or contraceptives. View charts and statistics for patterns. Sync data across devices.




BPD Journal: Symptom Tracker
ALLEGRO DIGITAL LTD
Track symptoms, record moods, share data
Track daily perceptions in three areas: Self, Relationships, and Environment. Log symptoms and treatments to monitor emotional patterns. Share data with healthcare providers for informed care. Set reminders and view progress over time.

BPD Tracker
Clarity Digital Therapeutics Inc
Track moods, set goals, and stay grounded
Track mood, symptoms, and triggers with daily logs. Set reminders for medication and self-care. Access guided breathing exercises and coping strategies. Monitor progress over time with visual charts and insights.


Human Health: Chronic Illness
Human Operations Pty Ltd
Track health metrics and analyze data
Log symptoms, track treatments, and identify patterns over time. Set reminders for medications and appointments. Share health data with healthcare providers. View detailed reports and insights based on scientific research.

Period Tracker ·
Luni
Track cycles, predict symptoms, track fertility window
Track menstrual cycles and predict PMS, , and fertility phases. Log symptoms, mood, and habits. View ovulation dates and fertility windows. Learn to understand bodily patterns and track health trends.

plop - poop tracker & analyzer
The Plop Company LLC
Analyze gut patterns and flag changes
Track digestion patterns by logging symptoms, meals, and habits. Identify correlations between habits and digestive issues. Receive automatic insights on unusual changes. Set custom tracking goals and view detailed analytics.



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