Apps Like FactorsTraining for iPhone and iPad
Ranked alternatives
Showing 241–260 of 1,000 ranked alternatives.



CABLE Util
North Pole Engineering Inc
Connect ANT+ sensors to Bluetooth devices
Convert ANT+ sensor data to Bluetooth Smart for compatibility with fitness apps. View heart rate, power, speed, and cadence metrics. Control ANT+ trainers via BLE FTMS protocol. Sync data across compatible applications.

SnapSets - AI Gym Tracker
Termsguard LLC
Snap photos, track workouts, export history
Track workouts by snapping photos of equipment and weights. AI identifies exercises, equipment, and set details. Confirm lifts with one tap and save history automatically. Export data as CSV for sharing or analysis.


furo.fit: Wellbeing Community
FEETAPART WELLNESS PRIVATE LIMITED
Join colleagues, choose activities, unlock fitness plans
Track nutrition with personalized meal plans and calorie tracking. Log workouts and monitor progress. Join a for social support. Set and complete fitness challenges. Sync data with Apple Health. Receive personalized activity recommendations.






LiftLogic: Train With Purpose
Andre Havasi
Build strength structured workouts
Track progress through structured phases including warmup, skill work, main training, and cooldown. Create custom workouts based on specific goals like handstands and levers. Log training sessions and monitor skill development over time.




Seaver
SEAVER
Track training data and horse performance
Connect to device via Bluetooth to track real-time training data including speed, distance, calories burned, and duration. Save session data for detailed post-training analysis to monitor progress and horse's physical condition.




Biking Beacn Pro
Emidio Cunha
Track workouts with voice cues and private
Tracks workouts with time, distance, elevation, speed, calories, cadence, and heart rate. Provides voice cues and heart rate zones. Detects accidents and sends SMS with location. Offers private live tracking on a password-protected site.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.