Home / Alternatives to BuBiM Apps Like BuBiM for iPhone and iPad
by Regionalverkehr Munsterland GmbH ★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Ranked alternatives Showing 61–80 of 1,000 ranked alternatives.
Verkehrsbetriebe Schaffhausen
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
AkibaDreams GmbH
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Hanns Adrian Boehme
★ 0.0 0 ratings Navigation Free Data updated 2026-09-06
HOsy - intelligent software.
★ 5.0 1 ratings Travel Free Data updated 2026-09-08
Stadt Storkow (Mark)
★ 0.0 0 ratings News Free Data updated 2026-09-06
Hessen App GmbH
★ 0.0 0 ratings Reference Free Data updated 2026-09-06
Michael Mayer
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
NEW AG
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Krisztian Cseh
★ 5.0 1 ratings Travel $0.99 Data updated 2026-09-06
DLR German Aerospace Center e.V.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
studio.201 software GmbH
★ 1.0 2 ratings Games Free Data updated 2026-09-09
Bayerische Eisenbahn GmbH
Plan trips, book tickets, track delays
Plan trips using public transport in Bavaria and beyond. Book tickets, check delays, and report connection needs. View real-time schedules for trains, buses, trams, and shared mobility options like e-scooters and rental bikes.
★ 4.8 14 ratings Travel Free Data updated 2026-09-08
msu solutions GmbH
★ 3.5 2 ratings Travel Free Data updated 2026-09-06
Alpinschule Innsbruck Gesellschaft m.b.H.
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Daniel Kreutz
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Rolf Mathis
★ 5.0 1 ratings Education Free Data updated 2026-09-06
Stadtwerke Solingen GmbH
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
chargecloud GmbH
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
MO.Point Mobilitaetsservices GmbH
★ 5.0 4 ratings Travel Free Data updated 2026-09-06
Kollektiv17 - Jonas, Pfilf & Schmitt GbR
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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