Apps Like Howrse for iPhone and iPad
Breed, care for, and train horses.
The app allows users to breed horses, ponies, donkeys, or unicorns. Users can groom, train, and equip their horses for competitions to win trophies and climb leaderboards.
Howrse screenshots
Ranked alternatives
Showing 341–360 of 1,000 ranked alternatives.
YamamahApp
Symphony Technology LLC
Search race results and horse stats instantly
Search race results, horse records, and rider information instantly. View latest updates, statistics, and event details. Access global data on endurance racing events and competitors.
Race Start Test-Formula Reflex
Omer Sina Ceylan
Click to , track your
Test reflexes by clicking rapidly to races. Track progress through multiple difficulty levels. Compete against global players for high scores. Improve reaction time with repeated practice. Share results on social media.
2-bit Cowboy
Cascadia Games LLC
Western action platformer Gameboy style
The app is a Western action platformer game with Gameboy-style graphics. Players tackle challenges, earn rewards, customize characters, and explore large levels.
Horse App: Care - HorseCare
Distinct Systems i Sverige AB
Sync calendar, log training, share updates
Track training sessions and log activities in a shared diary. Sync with calendar apps and share updates in real-time. Connect with stable members to coordinate care and events. Monitor training progress and manage -related schedules.
Farm Sounds by TantrumApps
Lawrence Ingraham
Farm animals for children anytime.
The app presents fourteen farm animals with high-resolution photos and sounds. It offers four play modes: Large Images, Which Animal?, Make Me an Animal!, and Memory Matching, suitable for children ages 1-5.
Donkey Dash Derby
Gold 5 Ltd
Race horses with ping pong balls
Play by throwing ping pong balls into holes to move a horse toward the finish line. Compete online against friends to collect tickets and unlock new donkeys. Track progress with multiple horses per race.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.