Apps Like Atisha for iPhone and iPad
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.
My Pulse: Heart Rate Monitor
CHEESEJOY LIMITED
Check , log blood pressure, track blood
Track by covering the camera lens with a fingertip. Log blood pressure and blood oxygen levels. View health records and set reminders for regular monitoring. Sync data with health apps and receive notifications for abnormal readings.
Blood Oxygen App+
Kishan Panchotiya
Track and heart rate
Track levels and heart rate with guided steps. Log measurements and save them for later. Access recent data quickly. Export measurements for record-keeping.
CalFix – AI Calorie Tracker
Mashud Ahmed Talukdar
Track meals, log nutrients, set goals
Track daily intake by scanning food with AI. Log meals and snacks, set dietary goals, and monitor progress over time.
High Blood Pressure Tracker AI
CARDILOG PTY LTD
Track and heart rate
Track , heart rate, and weight in one place. Log readings manually or through connected devices. View progress charts and trends over time. Set reminders for regular monitoring. Receive alerts for abnormal readings.
DiabetesPal
Pascal Freiburghaus
Track blood sugar and sync data across
Log blood sugar levels, insulin doses, medications, ketones, HbA1C, weight, height, and carbs. Sync data via iCloud, Dropbox, or WebDAV. Analyze data on desktop or mobile devices. Input data directly from the iOS .
Blood pressure app Free of-ads
Free AI APPS ONE MEMBER LIMITED LIABILITY COMPANY
Track and heart rate
Track , heart rate, weight, glucose, and medication. Log workouts and set reminders. View progress charts and sync data with Apple Health. Receive alerts and set goals for cardiovascular wellness.
MyHeart: Blood Pressure Diary
鹏 王
Track readings and notes
Log readings, including systolic, diastolic, and pulse. Add personalized notes to each entry. Set reminders for regular monitoring. Track progress over time with detailed records. Share data with healthcare providers for better management.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.