Apps Like TrackIt - Track your progress for iPhone and iPad
Ranked alternatives
Showing 41–60 of 1,000 ranked alternatives.



Weight Lifting Tracker: WeFLEX
FarisFitness Limited
Track workouts, plan routines, and build muscle
Track workouts with AI-generated plans tailored for fat loss, muscle gain, or fitness goals. Log exercises, monitor progress, and receive real-time feedback. Set reminders, sync with fitness trackers, and share achievements with a training group.


Us Unstoppable
Unstoppable Fitcouple Inc
Track workouts, nutrition, and progress
Track workouts, nutrition, and lifestyle habits with personalized training plans. Upload progress photos and participate in fitness challenges. Follow workout videos and monitor measurements and results with a coach.




AthElite Lifting Club
AthElite Lifting Club LLC
Track workouts, nutrition, and progress
Track workouts and progress with customizable training plans. Access an exercise library with video demonstrations. Log meals to improve nutrition choices. Monitor lifestyle habits, measurements, and results.





Kovo: Fitness, Workout Planner
Kovo LLC
Train with custom workouts and challenges
Offers personalized and gym programs based on user goals. Users can log exercises, track progress, and receive AI-generated training plans. The includes interactive challenges, games, and rewards to maintain engagement.

PushPush: AI Push-Up Coach
Estee Inc.
Track push-ups and monitor progress
Create personalized workout plans tailored to fitness levels and goals. Track progress with AI-based auto counting. Set and complete daily challenges. Sync workouts to view performance metrics and improvements over time.


Time Fit by Fit Familia
Fit Familia, LLC
Workout and track progress with precision
Track workouts with strength, cardio, stability, core, and balance exercises. Set fitness goals and receive personalized workout plans. Log meals and monitor nutrition intake. Sync progress across devices and view detailed performance analytics.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.