Apps Like LYF+ for iPhone and iPad
Ranked alternatives
Showing 81–100 of 1,000 ranked alternatives.
Healthzilla: Healthy Habits
Betterlife Pte Ltd
Track data, get recommendations, build
Track heart rate variability and receive feedback on scores. Monitor and analyze data from HealthKit across multiple wearable sources. Set daily goals and receive recommendations to build .
QuickPulse: Blood Pressure
Guangzhou Heqi Zhixiang Network Technology Co., Ltd.
Monitor heart rate and track trends
Monitor heart rate by placing a finger over the phone's camera. Get personalized health insights and recommendations. Track progress over time with detailed reports. Set reminders for check-ins and health goals. Share data with healthcare providers.
Heart Rate, HRV Tracker: Pulca
DENALI DIGITAL BILISIM LIMITED SIRKETI
Track rate and stress with camera
Track rate, pulse, blood pressure, HRV, stress, ECG/EKG, and oxygen levels using facial scanning. Monitor metrics in real time. Receive insights on body rhythms and balance. Sync data with health apps for ongoing tracking.
Signos
Signos, Inc.
Track body metrics and receive real-time feedback
Track glucose levels in real time using paired biosensor data. Receive personalized feedback on how food, activity, sleep, and stress impact metabolism. Set goals for blood sugar management and view progress over time.
iCardio - Heart Rate Tracker
APEXMOBI PTE. LTD.
Track rhythms and sleep
Monitor with fingertip camera scans and track HRV for stress and recovery insights. Log blood pressure, blood sugar, and SpO2 levels. View trends and patterns for health tracking. Sync data across devices for consistent monitoring.
HEALBE
HEALBE CORPORATION
Track calories, hydration, and stress levels
Track calorie intake, hydration levels, and nervous system activity automatically. Monitor 32+ body and mind metrics. Set nutrition goals and receive automatic calorie calculations. Sync data with the GoBe smart band for real-time health insights.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.