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



Taipei Metro -Taipei MRT Guide
敏 吴
Find routes, track time, view maps
Plan trips with real-time MRT route maps and accurate subway data. Search for multiple transfer options with detailed time, fare, and distance. Access station information and surrounding services. Function offline without internet connectivity.


NNXPRESS
Bishop Peak Technology, Inc
Track buses and receive real-time updates
Track bus locations in real-time. View schedules and receive notifications. Check arrival times with possible delays up to 45 seconds. Access transit information via email support.





Chicago CTA Bus Tracker
Naiara Albaina
Track bus arrivals and save favorite stops
Track real-time bus arrivals for CTA routes. Select a route, direction, and stop to view next arrival times. Save favorite stops for quick access to upcoming schedules. No official affiliation.

VesselFinder
ASTRA PAGING LTD
Track ships worldwide with live data
The app provides real-time information on ship positions and movements worldwide. It offers insight into global maritime activity with vessel particulars, port calls, and weather overlays.

Next Bus Dublin & Ireland
Stephen McBride
Track bus arrival times and routes
View real-time bus arrival times for routes. Add and manage favorite stops for quick access. Filter routes and view map previews. Check schedules for both Bus and Go-Ahead Ireland services.

Los Angeles Metro Rail Time
Foodmatesss Limited
Track bus stops and view real- schedules
View real- LA and bus schedule predictions. See map-based bus route stops and save frequently used routes. Check arrival times directly from data. Track stops and plan trips efficiently.





PDX Bus, MAX, Streetcar & WES
Andrew Wallace
Portland public transport arrival times.
The app displays arrival times for public transport in Portland, Oregon. It uses GPS to locate nearby stops and provides interactive rail maps.


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