Home / Alternatives to Farra - Cycling in the city Apps Like Farra - Cycling in the city for iPhone and iPad
by COM DES LEZARDS ★ 5.0 1 ratings Travel Free Data updated 2026-09-06
Farra - Cycling in the city screenshots Ranked alternatives Showing 781–800 of 1,000 ranked alternatives.
Strayda Holdings Limited
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
TAF mobile GmbH
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
VLine Corporation
Train services at a glance.
The app saves selected journeys and displays the next five train services. It shows platform information for Southern Cross Station, train details, accessible spaces, and bike storage capacity.
★ 5.0 1 ratings Travel Free Data updated 2026-10-06
Brainbox Technology LTD
★ 1.0 1 ratings Travel Free Data updated 2026-09-18
SP sp. z o.o.
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Sergi Palomares Redon
★ 0.0 0 ratings Navigation Free Data updated 2026-09-24
Blue SKy IP LTD
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Koelner Verkehrs-Betriebe AG
★ 0.0 0 ratings Travel Free Data updated 2026-09-18
On Wheels
★ 3.0 2 ratings Travel Free Data updated 2026-09-09
Fifteen
★ 5.0 1 ratings Travel Free Data updated 2026-09-06
Wuhan Huakexunce Technology Co., Ltd.
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
SAFE LINK INC SERVICE CORPORATION
★ 5.0 1 ratings Travel Free Data updated 2026-09-06
Unify Systems Private Limited
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
IntraKey technologies AG
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-15
InnerShed Ltd
★ 0.0 0 ratings Education Free Data updated 2026-09-17
Mobilicidade Tecnologia Ltda
★ 0.0 0 ratings Utilities Free Data updated 2026-09-19
smartup GmbH
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
ONLINEHUB (PTY) LTD
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Mobilicidade Tecnologia Ltda
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
GoTo Mobility ltd
★ 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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