Apps Like Powor - Train Better for iPhone and iPad
Ranked alternatives
Showing 21–40 of 1,000 ranked alternatives.



Dumbbell Home Workouts
LIFEBUDDY LLC
Train with dumbbells, build muscle, stay at
Track exercises with step-by-step guides and form feedback. Set muscle hypertrophy goals and monitor progress over time. Access nutrition tips and plans tailored for use. Sync workouts with fitness trackers and view performance analytics.





GetFit: Track, Snap & Share
Winn Nguyen
Track workouts and progress photos
Track workouts with sets, reps, and weight logging. progress photos and connect with other lifters. View training history and compare results with peers.

Setgraph: Gym Workout Tracker
Setgraph LLC
Track lifts, log workouts, and monitor progress
Log workouts with instant set tracking and minimal taps. Record weights, reps, and sets for each exercise. Track personal records and progress over time. Customize training plans and adjust goals. Sync data across devices for consistent progress.


Push Pull: Workout Tracker
Benjamin Zlatin
Track workouts, plan routines, log progress
Log workouts with 800+ strength and cardio exercises. Create up to 3 custom routines. Track sets, reps, and weight. Set progress goals. Sync with AI-powered programming. Share achievements with community. Receive motivational feedback.






Vitruvian
VITRUVIAN INVESTMENTS PTY LTD
Train with adaptive resistance and track progress
Connect to the Trainer+ for adaptive resistance training. Track workouts, monitor progress, and access personalized fitness sessions. Sync with Apple Health and manage training plans. View performance metrics and adjust intensity levels.


Soma Gym & AI Calorie Tracker
Kristopher Roberts
Track workouts, analyze performance, adapt training
Track workouts with real-time feedback on sets, reps, and RPE. Receive adaptive training suggestions based on performance. Analyze meals via photo to track macros and calories. Customize AI-generated workout plans based on fitness goals.

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