Apps Like VO2Max Training for iPhone and iPad
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.
VO2 Max Beep & Bleep Test for Shuttle & Pacer Run
Mirsad Hasic
Calculate cardiovascular fitness and Vo2Max.
The app calculates and rates Vo2Max using the beep test. It supports multiple user profiles and saves or removes old results.
HockeyTracker
MyndArc, LLC
Track game stats and analyze performance data
Track hockey performance with real-time stats and post-game analysis. Log game details, monitor speed and distance, and review detailed metrics. Export data and share insights. Syncs with Apple Watch for accurate tracking.
BreathNow - blood pressure app
Cardio Calm Ltd
Track heart rate and stress levels
Measure heart rate, stress, and cardio fitness using a phone’s camera or Apple Watch. Track and pulse with breathing exercises and meditations. Include a cardio fitness test from the University of Cambridge.
WHOOP
Whoop Incorporated
Track sleep, strain, and recovery data
Track sleep patterns, strain levels, recovery progress, and stress metrics throughout the day. Receive personalized coaching based on physiological data. Set goals for sleep and activity.
HRV4Training
A.S.M.A. B.V.
Quantify stress, balance training, improve performance.
The app provides heart rate variability insights to help users quantify stress and balance training. It offers long-term trends, correlations, and training load analysis for performance optimization.
Withings
Withings
Manage health with unified data insights.
The app unifies health data from various sources, offering insights and tracking for weight, activity, sleep, and more. It provides a tailored health profile and enables sharing with healthcare providers.
Death Clock: The Life Lab
Most Days Inc
Analyze bloodwork, optimize
Analyze data to estimate life expectancy. Track bloodwork and habits to refine longevity projections. Receive personalized recommendations for lifestyle changes. Monitor progress over time with real-time updates.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.