Apps Like Multiply Datalink for iPhone and iPad
Upload steps, earn more rewards.
The app uploads pedometer step data to Multiply. Users can view their steps and points on the Momentum website.
Multiply Datalink screenshots
Ranked alternatives
Showing 81–100 of 1,000 ranked alternatives.


Start Running For Beginners
Axiom Mobile LLC
Run without tracking, focus on movement
A offers personalized coaching and a structured Couch to 5K alternative plan. It tracks distance, speed, and pace during runs. Users can view detailed statistics for each training session.

Daily Steps: Step Counter
Harbour City Software Pty Ltd
Track steps and view summaries
Tracks using HealthKit. Displays count in a clean interface. Provides walking tips. No setup required. Syncs with Apple Watch.








PaidToGo - Walk & Earn Cash
Paid To Go LLC
Track steps, , level up
Track steps and through monthly challenges tailored to your step history. Set daily targets to coins per mile. Participate in challenges to split prizes with winners. or run indoors or outdoors. Invite friends and share daily step counts.



Walking Tracker by GetFit
TEBEPAKET INC.
Track steps, distance, and calories burned
Track daily steps, distance, and calories burned. Monitor route maps and health metrics. Access 42-minute workouts for stress relief and weight loss. Set goals and view progress. Sync with Apple Health.





Walking Weight Loss: Walk Pal
Fast Builder Limited
Track steps, distance, and progress
Track daily steps, distance, and progress with step counting and goal setting. View stats for daily, weekly, and monthly activity. Access guided workouts to improve fitness and support loss. Sync data with Apple Health.

Pedometer Step Counter ZuStep
Denis Tomashevich
Track steps and count calories
Track steps and distance walked in kilometers. Monitor calorie burn based on activity. Set daily goals and view progress. Use a customizable widget for quick access. Sync data across devices. Adjust sensitivity for accurate counting.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.