Apps Like Simple Heart for iPhone and iPad
Ranked alternatives
Showing 21–40 of 1,000 ranked alternatives.
HeartWatch: Heart Rate Monitor
TANTSISSA HOLDINGS PTY LTD
Track and sleep data privately
And rhythm with real-time data. Track workout intensity and duration. Sync with Apple Watch for detailed activity logs. View sleep patterns and stress levels. Set health goals and receive reminders. Share data securely with healthcare providers.
iBiker Cycling & Heart Trainer
Fitdigits Inc
Track rides, measure distance, monitor cadence
Track routes and rides with GPS, logging distance, speed, cadence, and time. Monitor rate and training progress. Sync with Apple Health and Apple Watch. Create and compare regular routes. Set coaching goals and view performance metrics.
FITIV Pulse - Workout Tracker
MotiFIT Fitness Inc.
Track heart rate and workouts in real
Track heart rate live from AirPods Pro 3 and Powerbeats Pro 2 without a chest strap. Monitor training readiness, daily strain, and recovery status. Sync data from Apple Watch, Garmin, Oura, and WHOOP. Log workouts and view progress charts.
Hearty : Heart Rate,Stress, BP
HeartyTech Co., Ltd
Track pulse, BP, and stress levels
Track rate with camera pulse measurement and blood pressure. Analyze health data using AI models like DeepSeek-R1 and Gemini. Monitor hydration and caffeine intake. Sync with Apple HealthKit and Apple Watch. View 80+ charts for 40+ body metrics.
iSmoothRun
LAKE HORIZON LIMITED
Track runs, walks, and fitness activities
Track running, walking, hiking, cycling, and other fitness activities with continuous performance monitoring. Log workouts, set goals, and view progress charts. Supports HRM, stride sensors, speed/cadence combos, and power metrics.
XGT Fitness
XGT Holdings, INC.
Train with heart-rate monitored workouts
Book sessions and track workout stats daily. Monitor progress with check-ins and schedule next progress checks. Use heart-rate monitoring to stay in target zones for fat burning and muscle building.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.