Apps Like Peak Week Coach for iPhone and iPad
Peak Week Coach screenshots
Ranked alternatives
Showing 21–40 of 1,000 ranked alternatives.



Personal Training Coach
NAZIM ASHRAF
Train with custom workouts and progress tracking
Create personalized workout plans for strength , muscle building, and fat loss. Track progress with detailed logs and performance metrics. Access expert guidance for form correction and exercise recommendations.



Bench Gym Log: Workout Tracker
Bench LLC
Log workouts and track progress
Log workouts with set tracking and rest timers. View detailed progress charts and multi-rep max data. Create custom routines and analyze volume distribution metrics. Sync with Apple Health for comprehensive fitness tracking.


MyoAdapt
Aesop Research Ltd
Customize workouts, track progress, adapt routines
Track workouts and monitor progress with real-time adaptation. Customize sessions based on training history, time, and equipment. Set goals and receive personalized feedback. Sync with fitness trackers and view detailed analytics.


5x5 Workout - Zen Labs
Zen Labs LLC (CA)
Start strength training with 5x5 workouts
Build strength with a beginner-friendly program focused on compound movements. Track progress with guided workouts. Access free introductory weeks. Set goals and receive structured training plans. Sync with fitness trackers for progress monitoring.



Wora - Fitness Evolved
Maplerune LLC
Track workouts and scan meals for macros
Track workouts with personalized routines based on experience and goals. Monitor muscle recovery using interactive body diagrams. Adjust training plans according to schedule and progress. Scan food to estimate calories and macronutrients.






MesoBuilder
Devin Tassin
Track progress with structured mesocycles
Plan and track structured strength-training programs with mesocycle blocks. Log sets and reps, monitor progress, and organize training data without spreadsheets. Use widgets and timers for real-time workout tracking.

How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.