Apps Like TrekkIt for iPhone and iPad
TrekkIt screenshots
Ranked alternatives
Showing 401–420 of 1,000 ranked alternatives.



Exceed By Arch Digital
Arch Apps L.L.C.
Track workouts, eat smart, rest well
Track progress with personalized fitness programs, nutrition plans, and recovery routines. Access on-demand group classes and one-on-one coaching sessions. Log workouts, set goals, and receive weekly feedback to support habit transformation.



myCols - your cycling climbs
myCols B.V.
Conquer mountains and track climbs.
The app helps users achieve cycling dreams by conquering iconic mountains. It provides a personal profile with climb details, times, and challenges, and connects with fitness trackers to analyze rides and update profiles automatically.

Challengrs – AI Workout Game
Mekina Software LLC
Capture workouts, earn points, stay motivated
Take photos of workouts to earn points verified by AI. Track progress without logs or wearables. Share challenges with others. Receive feedback on form and effort. Set goals and view achievements. Sync across devices.


BikingBuds
Sandeep Sukhija
Track group members' locations
Track group biking sessions by viewing real-time locations of all members. Alert the group if a fall is detected. Check last location updates to confirm rider status. Designate yourself as a rider or non-rider to control location sharing.

Outlap: run, ride and compete
Solution208 Ltd
Track workouts, compare stats, get feedback
Track workout performance with real-time data and voice feedback. Compare current sessions to past runs, bike rides, or hikes using Ghost Mode. Set goals and view progress metrics. Sync with fitness devices for accurate performance analysis.







Sakar Fitness
Sakar international inc.,
Track health and fitness goals easily.
The Sakar Fitness app records daily activity including steps taken, calories burned, distance traveled, sleep quality, and heart rate. It displays fitness information with graphs, charts, and a history calendar.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.