Home / Alternatives to OrderFrog Apps Like OrderFrog for iPhone and iPad
by MadeIT inc ★ 0.0 0 ratings Food & Drink Free Data updated 2026-10-04
Ranked alternatives Showing 941–960 of 1,000 ranked alternatives.
Atesplore Pte Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
1000911039 ONTARIO INC.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
SMSAMI INC.
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Hungrrr Dev Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
MAKANE FOR WEBSITES DESIGN
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Yuen Pik Tang
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
PREPD POS LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-14
Appzgate Solutions Pte. Ltd.
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Morphia, Inc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Morphia, Inc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Vivek Chauhan
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-27
TABEX FOR MEDICAL CENTERS AND CLINICS
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Craver Solutions Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
JRC Investments Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Adham Shamseldin
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Kyoo, Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Yannis Litsas
Order , reserve tables, customize meals
Order for delivery or takeout with real-time tracking. Reserve tables for future visits. Customize meal options to fit dietary preferences. View menu items with photos and descriptions. Receive notifications about order status and promotions.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
APPSSQUARE, Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
CodeFusion Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
ADS Data Inc
★ 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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