M2M Training app icon

Apps Like M2M Training for iPhone and iPad

by M2M Training AB★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06

M2M Training screenshots

Ranked alternatives

Showing 1–20 of 1,000 ranked alternatives.

  1. Kettlebell Functional Training app icon

    Kettlebell Functional Training

    Adriell Mayes

    Train with custom workouts and exercises

    Custom workout programs adapt to user goals and fitness levels. Track progress with detailed statistics and exercise history. Adjust routines based on performance and injury prevention. Sync with Apple Health for comprehensive fitness data.

    ★ 4.8257 ratingsHealth & FitnessFreeData updated 2026-09-06
  2. Behtar Shim app icon

    Behtar Shim

    Mahtab Namvar

    Workshop, track progress, eat better

    Access exclusive workouts, nutrition plans, and wellness workshops to improve health. Subscribe for full features. Track progress and participate in live sessions. Share achievements with others.

    ★ 4.649 ratingsHealth & FitnessFreeData updated 2026-09-06
  1. Hopp Homie app icon

    Hopp Homie

    Hopp Homie LLC

    Train agility and strength for volleyball

    Offers agility and strength training exercises tailored for volleyball players. Users can access personalized workout plans, track progress, and view exercise demonstrations. Set training goals and receive feedback on form and performance.

    ★ 5.08 ratingsHealth & FitnessFreeData updated 2026-09-06
  2. Friskis Go app icon

    Friskis Go

    Friskis and Svettis Riks

    Find workouts, track your training, log exercises,

    Find workouts tailored to your needs. Track and plan training sessions. Log exercises and set goals. Access group classes and gym-specific routines. Follow training programs over time. Receive tips and inspiration.

    ★ 4.06 ratingsHealth & FitnessFreeData updated 2026-09-06
  3. GHIN app icon

    GHIN

    United States Golf Association

    ★ 4.820,629 ratingsSportsFreeData updated 2026-09-08

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.