Home / Alternatives to Veg Platter Apps Like Veg Platter for iPhone and iPad
by Imbibe Technologies Private Limited ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-13
Ranked alternatives Showing 141–160 of 1,000 ranked alternatives.
PLUGD TECHNOLOGIES (SMC-PRIVATE) LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Tastysoft Sp. z o.o.
★ 5.0 5 ratings Food & Drink Free Data updated 2026-09-06
Zaando Innovations, Ltd.
★ 5.0 1 ratings Shopping Free Data updated 2026-09-06
Incentivio, Inc.
Order meals and earn rewards
Order food for pickup, delivery, or catering from and Healthy Creations. Browse menu items made with organic and gluten-free ingredients. Use loyalty program to earn rewards. Place orders in advance and pay securely.
★ 4.9 52 ratings Food & Drink Free Data updated 2026-09-06
DeliverLogic Inc.
★ 2.4 8 ratings Food & Drink Free Data updated 2026-09-11
hawk ECE
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
FoodMall Application Services Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Eatble Technology S.R.L.
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
MunchEm, Inc
★ 3.8 13 ratings Food & Drink Free Data updated 2026-09-13
DeliverLogic Inc.
★ 4.3 11 ratings Food & Drink Free Data updated 2026-09-10
Ifeyinwa Israel
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Chowbus, Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Chowbus, Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Chowbus, Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Chowbus, Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Chowbus, Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Chowbus, Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Chowbus, Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Chowbus, Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Chowbus, 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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