Apps Like Workout Assistant - Simple for iPhone and iPad
Workout Assistant - Simple screenshots
Ranked alternatives
Showing 41–60 of 1,000 ranked alternatives.



Kintore: Workout Log
Kintore memo Co.,Ltd
Track workouts and progress seamlessly
Track progress by recording weight, reps, and assistance usage. Switch between kilograms and pounds. Analyze training data to optimize routines. Monitor muscle growth and adjust exercises accordingly.









Urban Lagree
URBAN LAGREE LLC
Book classes and track your progress
Book and attend 40-minute high-intensity, low-impact workouts. Track progress with built-in fitness metrics. Access class schedules and instructor bios. Sync with fitness devices for real-time data. Share workout achievements on social media.


Gym Workout Tracker .
LightByte Co., Ltd.
Track reps, duration, and mood
Track workouts with rep, duration, and emotion logging. Analyze performance using stats and charts. Monitor body measurements including height, weight, BMI, and fat rate. Log mood alongside sessions. Create custom templates for gym or home workouts.

Lagree House
J3C Ventures, LLC
Workout with slow controlled movements
Track workouts with real-time feedback and progress tracking. Access a library of slow, controlled exercises targeting strength, endurance, core, cardio, balance, and flexibility. Set goals and view performance metrics. Sync with Apple Health.

Interval Timer: HIIT Workout
Yosyp Hameliak
Track work and rest intervals
Track work and rest intervals for workouts. Set custom durations for sets and rounds. Start and pause sessions manually or with voice commands. Monitor heart rate via Apple Watch. Sync progress with iCloud and integrate with Health .

Cycle Fly
Cycle Fly L.L.C.
Ride indoor cycles and track progress
Allows users to participate in indoor cycling sessions. Track workout duration and intensity. Access pre-recorded classes. Adjust resistance levels and monitor heart rate. Sync with fitness devices for real-time feedback.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.