Home / Alternatives to District Apps Like District for iPhone and iPad
by Franco Grieco ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 241–260 of 1,000 ranked alternatives.
Passepartout s.p.a.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Gennaro Ciaravola
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Jimmy Cheng
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
CassaNova SRL
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
fabio quirici
Order and track your delivery
Order from favorite restaurants and have it delivered to your home. Browse restaurant menus, select dishes, and place orders with a few taps. Track delivery status and manage past orders. Find local specialties and customize meal preferences.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
PORTALIDEA SRL
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DYLOG ITALIA SPA
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Mattia Guariglia
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
TwinLogix S.r.l.
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-14
Easygusto SRL Semplificata
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
ASHLEY SRL
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
XIAOWAN SU
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
Simone Panozzo
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
T Project Group srl
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
HERNAN SRL IN FORMA ABBREVIATA HERNAN SRL
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
APPTEAM DI VANTAGGIATO ROCCO
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
TNX srl
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
TwinLogix S.r.l.
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
SIMOS FIREHOUSE SRL SEMPLIFICATA
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
CassaNova SRL
★ 0.0 0 ratings Food & Drink 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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