Apps Like Waaalk for iPhone and iPad
Ranked alternatives
Showing 1–20 of 392 ranked alternatives.


KAMURO
Tsuyoshi Nishigaki
Calculate distance using time lag and temperature
Estimate distance using time difference between seeing and hearing fireworks and temperature. Input time in seconds and temperature in Celsius. Set location via map or use current position. Display results as a circle on the map.





駅.Locky - 電車時刻表カウントダウン
Ubigraph Inc.
Track train departures and countdown time
Displays countdowns for train departures from the next train to the last one. Users can swipe or double-tap to switch between different train times. Shows a list of schedules and displays the nearest station based on current location upon launch.

高速道路ナビ(渋滞情報・高速道路料金の検索)
Masaki Sato
Highway tolls traffic route search
The app provides highway toll, traffic, and route search in three steps. It compares up to three routes by time, distance, and cost, showing Google's real-time traffic on a map.





美瑛の丘をめぐる旅
Hirataka Saito
Explore viewpoints and capture scenic beauty
Explore scenic viewpoints in Furano with detailed maps and photos. Search locations by map icons representing different routes. View panoramic views and photography spots. Includes hidden viewpoints not listed in guides.

中山道六十九次
GROUND-BASE INC
Trace the old Nakasendo route.
The app traces the old Nakasendo route from Edo to Kyoto, covering approximately 505km. It marks historical sites, inns, and points of interest along the 69 post stations.

甲州道中四十四次
GROUND-BASE INC
Follow the historic Koshu-dochu route.
The app shows the old route from Edo Nihonbashi to Shimosuwa-juku. It highlights inns, milestones, and landmarks along the approximately 208km path.

日光道中二十一次
GROUND-BASE INC
Trace the old Nikko Kaido route.
The app traces the 21 stages of the old Nikko Kaido route from Edo Nihonbashi to Nikko Toshogu Shrine. It displays the old road in red and bypasses in green, marking post towns, milestones, and famous sites based on historical records.




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Apps are ranked by functional similarity, category fit, rating confidence, and popularity.