Apps Like LeVelo for iPhone and iPad
Ranked alternatives
Showing 181–200 of 1,000 ranked alternatives.



bbybike - The Bicycle App
OBRHOFF Software Labs GmbH
Navigate with turn-by-turn guidance
Find fastest routes avoiding cobblestone streets and barriers. Get turn-by-turn navigation with spoken directions. Locate bike sharing points nearby. Customize cycling style for optimized routes. Uses OpenStreetMap and MapBox for navigation.




Bike Tracks
Core Coders Ltd
Record rides and save maps offline
Record cycling rides with offline maps and GPS tracking. Add routes via GPX files or existing rides. Overlay routes on maps. View climb categories and ride history without internet. Import photos and attach to rides. Sync with Health .


ProBikeGarage: Bicycle tracker
Tappr Labs LLC
Track bike health, schedule service, sync
Track bike maintenance schedules and receive alerts for service intervals. Log repairs and part replacements. Sync with Strava to monitor performance metrics. View detailed maintenance history and recommendations. Export reports for record-keeping.

Toronto Bikes — A One-Tap Toronto Bike Share App
Urban Apps
Find stations, check availability, navigate to them
Locate nearby docking stations with distance and direction. View available and docks. Use full-map mode to check docks at destinations. Set a ride timer to track rentals and avoid late fees.




LeipzigMOVE
Leipziger Verkehrsbetriebe GmbH
Plan trips, book rides, track routes
Plan routes for bus, tram, Flexa, bicycle, e-scooter, and taxi. Purchase public transport tickets including single, 24-hour, weekly, and monthly passes. Access real-time mobility options in one without switching between services.

Chattanooga Bikes — A One-Tap Bike Chattanooga App
Urban Apps
Find stations, check availability, navigate to location
Locate nearby docking stations with distance and direction. View available and docks. Use full-map mode to check docks at destinations. Set a ride timer to track rentals and avoid late fees.


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