Apps Like Penn State RideOn for iPhone and iPad
Penn State RideOn screenshots
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.


Rideon Customer
Kevin Ortiz Rios
Request rides and track your driver
Request rides from local drivers in Los Angeles and New York. View driver profiles and ratings. Track vehicle location in real time. Confirm pickup and payment details. Rate the driver after the trip.




Scoop - Carpooling & Commuting
Scoop Commute, Inc.
Schedule rides, share routes, meet people
Find carpool partners by location and schedule shared rides for morning and evening commutes. Set pickup and drop-off points. Track trip details and communicate with drivers and passengers.


Citymapper: All Live Transit
Citymapper Limited
Compare travel options in real-time
Compare travel options in real-time across all transport modes globally. Get turn-by-turn directions for public , walking, cycling, and scooter trips. Integrate with Uber for ride options. Receive accurate navigation and route updates.


Penn Mobile
University of Pennsylvania
Book study rooms and check schedules
Study room booking allows users to reserve spaces and view availability. Dining hall hours and daily menus are accessible instantly. Laundry machine locations and availability are tracked. Fitness facility hours are displayed.






BART (Official)
San Francisco Bay Area Rapid Transit District
Plan trips, track train departures, receive service
Plan trips with real-time train departures and service alerts. Find fastest routes using and connecting transit. View schedules and station information. Get trip details including transfers and estimated arrival times.




Ola: Book Cab, Auto, Bike Taxi
ANI Technologies Pvt. Ltd.
Rides and track your driver
Rides with options like , auto, and outstation services. View vehicle availability in multiple cities. Send parcels within city limits. Track ride progress and estimated arrival time. Pay directly through the . Receive ride confirmations and updates.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.