Apps Like Hashitrack Hashimoto Tracker for iPhone and iPad
Ranked alternatives
Showing 81–100 of 1,000 ranked alternatives.



MyAtlas Health
MyAtlas, Inc
Track stress, sleep, and social
Tracks stress, sleep, social , and physical well-being using device data. Creates a personalized mental profile with real-time insights. Offers tailored recommendations for improvement. Ensures HIPAA-compliant data handling and privacy protections.


Glucose Blood Track Free Of Ad
FREE AI UTILS COMPANY LIMITED
Sugar levels and log diabetes entries
Log sugar levels with one-tap entry. View trends over time with graphs and charts. Set reminders for testing and medication. carbohydrate intake and insulin doses. Export data for healthcare professionals. Share logs with caregivers or doctors.

Headache Migraine Diary
Adam Cziko
Track headaches and generate reports
Track headaches and migraines with simple taps. Log symptoms, medications, and triggers. Generate reports for doctors. Monitor patterns over time. Set reminders for treatment and prevention. Share data with healthcare providers.




myMedDiary
Computing ReApplied LLC
Track symptoms and view trend graphs
Log symptoms with detailed notes and categorization. Track symptom history and view graphical trends via linked website. Share data with medical professionals for review. Set reminders for symptom recording. Export data for medical consultations.

VitalEngine
Abel Health Care Enterprises, LLC
Share patient data securely
Healthcare professionals use to manage workflows and referrals. Share patient care data and medical images securely. Access real-time information through a HIPAA compliant platform. Collaborate on patient cases and track referrals.








Medication List
JOJO APPS
Track doses, set reminders, manage meds
Track medications and supplements with personalized scheduling. Set daily, weekly, or custom reminders. Receive timely notifications. View dosage history and upcoming doses. Sync across devices for consistent tracking.

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