Apps Like OpenHIIT for iPhone and iPad
Set intervals, track workouts, share sessions
Customizable timing allows users to set intervals for workouts or tasks. Track progress with session logs and export data. Collaborate with others through shared timers and real-time updates.
OpenHIIT screenshots
Ranked alternatives
Showing 421–440 of 1,000 ranked alternatives.


High Intensity Zero Equipment
Samantha Roobol
Train with - intervals
Perform - interval training workouts with customizable routines. Track calories burned and heart rate during sessions. Set goals and monitor progress over time. Sync data with fitness trackers and view session details.



TRAIN: On Demand
UBX IP LIMITED
Daily with automatic workouts
Upload daily workouts automatically. Access a library of equipment and body-weight exercises. View meal plans and recipes. Track progress with training logs. Sync workouts across devices.


Intervals
RGB Consulting Limited
Structured interval timer for focused training.
The app allows users to set work and rest times for structured training sessions. It provides visual and audio cues for transitions and tracks session statistics.







Contraction Tracker - Timer
Arda Sen
Track contractions and log time
Track duration, intensity, and intervals for accurate labor monitoring. Set reminders and receive notifications. Share data with healthcare providers for informed decision-making.



Jump Rope Challenge App
Muslim Zabirov
Complete 30-day workouts
Track daily workouts and progress over 30 days. Set goals for duration and intensity. Receive reminders and motivational tips. View calorie burn statistics and track fitness improvements. Sync with wearable devices for accurate performance data.



intervals - CrossFit Timer
Lilian SUZAN
Track effort and rest
Set custom for workouts. Track effort and rest periods. Adjust timings for different exercises. Sync with fitness goals. Monitor progress through session logs. Supports interval training methods like HIIT and Tabata.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.