Home / Alternatives to VELOPIZZA Apps Like VELOPIZZA for iPhone and iPad
by Viacheslav Zherebyatnikov ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 101–120 of 1,000 ranked alternatives.
Sophie Edis
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Alexander Shekhtman
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Roman Ginovich
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sophie Edis
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
LABORATORIYA IKS, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Anastasiia Topchaeva
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
APPS GRUPP, OOO
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
Roman Ginovich
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
DMITRIY SUKHAREV
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Igor Zharnikov
★ 3.0 2 ratings Food & Drink Free Data updated 2026-09-06
Papa Johns International Inc
★ 3.0 2 ratings Food & Drink Free Data updated 2026-09-06
Karen Sogomonyan
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Aleksei Ozhegov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sergei Fomichev
Learn recipes, watch videos, create shopping lists
Access recipes from global cuisines with video instructions. Create and manage a shopping list. Explore recipes for multi-cookers and bread machines. Learn cooking techniques from professionals and food bloggers. Save and organize favorite recipes.
★ 4.5 80 ratings Food & Drink Free Data updated 2026-09-06
Sophie Edis
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
TD NM, OOO
★ 4.9 104 ratings Food & Drink Free Data updated 2026-09-06
Igor Zharnikov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Oleg Semenov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Pavel Trushnikov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FUDSOUL, OOO
★ 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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