Home / Alternatives to Dinner-Roll Apps Like Dinner-Roll for iPhone and iPad
by Mark Paul ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 261–280 of 1,000 ranked alternatives.
Christopher Jahn
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Ray Belisle
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Anubhav Rao
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Mangoose, LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Mubaraq Akanbi
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Keen Technology Limited Liability Company
★ 3.6 5 ratings Food & Drink Free Data updated 2026-09-06
Calmora Yazilim Teknolojileri LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Mehmet Akduman
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
oren haliva
★ 4.1 23 ratings Food & Drink Free Data updated 2026-09-06
TREOPLAY LLC
Share recipes, connect with foodies, explore cuisines
Share recipes and food-related content. Connect with other users to exchange cooking tips and ideas. Explore global cuisines and dietary preferences. Participate in community discussions and events. Save and organize favorite recipes.
★ 4.7 12 ratings Social Networking Free Data updated 2026-09-06
SOLTIDE LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dylan Buck
★ 3.0 2 ratings Food & Drink Free Data updated 2026-09-06
Eshaan Marocha
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Troy Bearden
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Food For Fitness Limited
★ 5.0 6 ratings Food & Drink Free Data updated 2026-09-06
Hau-Ben Shih
★ 0.0 0 ratings Food & Drink $0.99 Data updated 2026-09-29
Supriyo Sarkar
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Kalle Bergman
★ 4.0 4 ratings Food & Drink Free Data updated 2026-09-06
Ralph Haville
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Emrah Yldz
★ 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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