Apps Like Ruby Pace for iPhone and iPad
Ranked alternatives
Showing 341–360 of 1,000 ranked alternatives.


Gloox: Gym Log Workout Planner
GYMLAB DIARY LLP
Track workouts, set goals, analyze progress
Track workouts with detailed logging of exercises, sets, and reps. Monitor progress with weekly and monthly summaries. Sync data with Apple Health. Set and adjust fitness goals. Receive real-time feedback during workouts. Export training data as PDF.

SportSplits Tracker
Dilltree Inc
Track athlete times and paces in real
Track real-time participant times, paces, and positions during events. View interactive course maps and live tracking. Monitor multiple participants simultaneously. Receive push notifications for progress updates. Access event details and results.



LapTracker - Auto Timer
Sten Kaiser
Track laps in multiple languages
Track laps automatically using motion detection for runners, cyclists, cars, and other racers. Set up to four detection zones for multiple participants. Receive spoken lap times in over 30 languages. View results in graphical format for comparison.





EPS Assistant
Francois LIEURY
Plan lessons, track progress, manage sports events
Manage sports tournaments with automated pairings, real-time standings, and statistics. Track individual player data. Integrate with 19 apps for lesson planning, grading, and observation. Organize events with built-in scheduling and result exporting.


Athletica AI Training Plans
Athletica Inc.
Train with AI-powered workouts
Plan weekly schedules by dragging and dropping workouts. Review daily session goals and structure before starting. Track progress with AI-generated insights and adjust based on performance data.







Step Counter - Pedometer Pro
健燊 张
Track steps and monitor activity progress
Track daily steps with real-time updates and a progress ring. Measure heart rate using on-device camera. Sync data with HealthKit for comprehensive activity insights. Set goals and receive haptic feedback to stay motivated.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.