Apps Like EPFA (AERR) for iPhone and iPad
Track gallop data and analyze performance
Track heart rate and lactate levels during treadmill gallops. Input and analyze formative data for individual horses. Generate training programs based on performance metrics. Export and share results with trainers and veterinarians.
Ranked alternatives
Showing 401–420 of 1,000 ranked alternatives.
SickPredict™
Health Logic Global, LLC
Predict health changes with real-time data
Tracks health metrics from Apple Watch to calculate a real-time SickNumber™, predicting potential health changes up to 72 hours before symptoms appear.
The Outsiders: Athlete Tracker
Gentler Stories d.o.o.
Track performance with data-driven goals
Track workouts, analyze performance metrics, and set personalized goals. Log training sessions, monitor progress over time, and receive data-driven feedback. Sync with wearable devices and export detailed reports for further analysis.
Cora - AI Fitness Coach
PurplePill AI, Inc
Track sleep, recovery, and exertion
Track sleep patterns and receive daily and weekly insights to improve recovery. Set goals for sleep quality and receive personalized recommendations. Sync with wearables to monitor exertion and adjust activity levels accordingly.
BE: Mental Fitness Training
The BE Mindset LLC
Train mind, meditate, progress
Train your mind with guided meditations and exercises. Set goals for focus and emotional balance. Track progress over time. Access premium content to improve clarity and performance.
HR Zones - Target Heart Rate
Andrew Arhelger
Calculate
Calculate and display personalized based on age and resting . Monitor real-time during exercise. Set to optimize cardiovascular workouts.
Simple Insights
SV Disrupt LLC
Track heart rate zones and trends
Monitor heart rate zones with custom BPM settings. Track trends like HRV, recovery, and calorie burn over time. View personalized dashboards and share customizable reports. Analyze workout data privately on the device.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.