Apps Like Canrover for iPhone and iPad
Ranked alternatives
Showing 321–340 of 1,000 ranked alternatives.
Verona Bike
Urban Sharing AS
Unlock bikes, buy subscriptions, track trips
Unlock bikes from stations across the city. Purchase subscriptions, locate nearby bikes, and contact support for assistance. Save trips to Apple Health for activity tracking. Manage account settings and access health data through the .
Citi Bike Miami
Deco Bike
Miami's bike sharing and rental system.
The app offers a bike sharing and rental system for Miami. It provides an additional transportation option for locals and visitors to travel around the city.
Vélo’v officiel
JCDecaux SA
Find stations and unlock bikes
Find nearby bike stations and check available bikes. Unlock a by pressing « release a » and select your bike. Receive a notification confirming the end of each trip. Track trip details and manage your bike-sharing experience.
flexigo
FLEXIGO, INC.
Plan shared rides and manage trips
Manage shared rides with real-time tracking and route optimization. Schedule and assign trips, monitor usage, and track expenses. Admins can configure routes, manage users, and generate reports.
CargoB
CargoB, LLC
Locate bikes, unlock, ride
Locate and unlock electric cargo bikes for short trips. Carry groceries, gear, or children. Lock bikes during stops. Return to home base to end trips. Track journey progress and manage reservations through the .
ExSend: Deliver & Track
SILVER LINING RESIDENTIAL LLC
Send packages and delivery
Send packages locally with real-time tracking and driver communication. Request pickups and manage deliveries through the . Choose from various vehicle types including bikes, scooters, cars, and trucks.
BAQME
Baqme B.V.
Unlock cargo bikes and ride safely
Rent an electric cargo bike in your neighborhood. Unlock and locate bikes through the . Transport children, groceries, and packages. Park and pause rides at any time. Use pedal assist for eco-friendly travel. Pay per minute for rides.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.