Home / Alternatives to Very Veggie Apps Like Very Veggie for iPhone and iPad
by Filibaba AB ★ 5.0 7 ratings Food & Drink $9.99 Data updated 2026-09-13
Ranked alternatives Showing 961–980 of 1,000 ranked alternatives.
Jack Anderson
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
CAPPACITI LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Asmitaben Viradiya
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dmitrii Nikolaev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Muhammad Umair
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Jamie Davies
Cook with what you have
Create meal plans based on available ingredients. Generate recipes using items in your fridge. Provide step-by-step cooking instructions. Suggest grocery lists for missing ingredients. Track cooking progress and store completed recipes.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Flight Club Darts Limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
KESTON NEUNIE
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Openbeta Limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
The PEEL Entertainment Group Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
IHYBRID LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Burak Adiguzel
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Elisa Valeria Distefano
★ 0.0 0 ratings Food & Drink $2.99 Data updated 2026-09-06
JACOB NICOLAI CLAUSEN
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Max Illis
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
BIGTIME Productions GmbH
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
HARVEY LAMBERT
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Achyut Labs Pty Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DANIEL ALEX FLIJMBAN
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
GonnaOrder B.V.
★ 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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