Home / Alternatives to Feastable Apps Like Feastable for iPhone and iPad
by Craig Terry ★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 761–780 of 1,000 ranked alternatives.
Aishvarya Sadasivam
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-10
younes ahmed
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-11
Imran Qureshi
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-08
Kamen Plamenov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Szymon Moscicki
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
PYXUS CONSULTING LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Ben Smith
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Appaas ajmal khan
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
PLAY MEDIA SERVICES - SOLE PROPRIETORSHIP L.L.C
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Vo Minh Tuan Nguyen
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Oskar Schaffner
★ 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
Michael Martinez
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Omiwato AB
Cook with AI-powered recipes and tips
Plan meals with recipe suggestions and grocery lists. Get step-by-step cooking instructions and adjust recipes for dietary needs. Track ingredients and manage pantry inventory. Share meals with others and receive feedback on cooking techniques.
★ 5.0 1 ratings Utilities Free Data updated 2026-09-06
Samuel Martinez
★ 5.0 1 ratings Productivity Free Data updated 2026-09-06
Shanzheng Liu
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Matthieu Boivineau
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sahar Toledano
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DevGru US Inc.
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
David Camargo
★ 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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