Apps Like Traffic Count for iPhone and iPad
Ranked alternatives
Showing 221–240 of 1,000 ranked alternatives.



Be Firefly
Thowra, Lda
Signal your turn without touching your bike
Communicate intentions with LED lights and sound alerts for cyclists and e-scooter riders. Activate signals via motion or voice commands. Syncs with helmet sensors for automatic turn and brake indicators.



Fast VPN - proxy master
Rapid DevOps LLC
Connect securely and instantly
Connect to secure servers with instant activation. Browse privately with strong encryption. Use unlimited data without speed limits. Access content globally with smart routing. Manage subscriptions across multiple devices.



amtb Count (計數器)
fate amtb
Simple counter with large buttons.
The app provides a simple counter with large buttons for increasing and decreasing the count. It includes an option to reset the count with undo functionality and allows users to turn sound effects on and off.





Church Metrics
Gloo LLC
Track attendance, salvations, and giving
Track attendance, salvations, and giving data in real time. Input like parking lot counts and kids ministry numbers during services. Access statistics anytime and filter by service times or categories.




SimpleTally - Tap to Count
Douglas Robison
Multiple items with linked counters
Multiple items simultaneously with linked counters. Tap to increment or swipe down to decrement. Customize colors and themes. Set initial values for up or down counters. Supports dark mode.

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.

HK Traffic
Chung Yeung Chan
View , accidents, and jams in real
View real-time conditions in Hong Kong with road camera snapshots. Check accidents, jams, and road closures. Receive instant updates on events. Track patterns in different regions.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.