Home / Alternatives to GOVINDAS Apps Like GOVINDAS for iPhone and iPad
by Anastasia SHARAPOVA ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-21
Ranked alternatives Showing 61–80 of 1,000 ranked alternatives.
Pavel Trushnikov
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-20
MNE BY V KOSMOS, OOO,
★ 5.0 11 ratings Food & Drink Free Data updated 2026-09-06
Alekberova Zahra
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Anastasia SHARAPOVA
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DMITRIY SUKHAREV
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-16
Axmedov Javlonbek
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
LLC DELIVERYmobile
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sophie Edis
★ 2.0 1 ratings Food & Drink Free Data updated 2026-09-06
Nazad V Budushchee, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
KOMPANIYA ZDOROVAYA ZHIZN, OOO
★ 4.5 17 ratings Food & Drink Free Data updated 2026-09-06
FUDL PLATFORMA, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Roman Ginovich
Order and drink delivery
Order and other dishes for home or office delivery. Choose from various menu items including salads, desserts, and sandwiches. Place orders online or via . Enjoy free express delivery. Track order status and payment options.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Peryazev Andrei Nikolaevich, IP
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Matvei Afanasiev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Farid ABIYEV
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
MEINBREIN, OOO
★ 5.0 8 ratings Food & Drink Free Data updated 2026-09-06
MOBILNOE RESHENIE, OOO
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
OBRAZOVATELNAYA KARTA OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-12
Karimov Amirfarrukh
★ 0.0 0 ratings Business Free Data updated 2026-09-06
GP VERNY, TOO
★ 0.0 0 ratings Lifestyle 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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