Apps Like Feathrs for iPhone and iPad
Ranked alternatives
Showing 101–120 of 1,000 ranked alternatives.




EquineMarket
Sandhills Global, Inc.
Buy and sell horses online
Browse equine listings for show, trail, breeding, and other disciplines. Filter by breed and use personalized search to find horses. View detailed profiles with photos and descriptions.


IDNet AI
AureKA Tech LLC
Identify pet behaviors and emotions
Analyze pet behavior by interpreting vocalizations and body language. Estimate emotional states of dogs and cats. Identify objects in the environment using AI-based object recognition.


HatchTracker Hobby
HatchTracker LLC
Track birds, manage inventory, monitor health
Track and manage inventory of gamebirds and livestock. Monitor health status and view analytics. Set reservations and receive alerts. Sync data across multiple devices. Export reports and share updates.

Crack Shack
THE CRACK SHACK ENTERPRISES, LLC
Order and earn rewards points
Join The club to earn rewards with every order. Access new items before they launch. Receive exclusive offers and discounts. Place orders for pickup or delivery without waiting in line.

Embark Vet
Embark Veterinary, Inc.
Test your dog’s DNA and track health
Track dog DNA to identify breed mix, allergy risks, and health traits. View family tree and genetic relatives. Receive science-based insights from a simple cheek swab. Share results with vets or owners.


Flock - Travel Together
Flock Travel LLC
Create trips and share plans
Plan trips by adding flights, stays, and activities. Share details with friends to coordinate schedules. View overlapping plans to collaborate on itineraries. Track行程 and manage bookings in one place.


Lev: Meet Dogs & Explore
LEV PROTOCOL, Inc.
Connect with neighbors and pets on walks
Find dog-friendly locations like parks, restaurants, and daycares. Share walks with other dog owners. Earn rewards for exploring and interacting with the pet care community. Track walking routes and share progress.



How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.