Home / Alternatives to Panda | Russia Apps Like Panda | Russia for iPhone and iPad
by FUDSOUL, OOO ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Panda | Russia screenshots Ranked alternatives Showing 21–40 of 1,000 ranked alternatives.
Pavel Trushnikov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Alekberova Zahra
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Tatiana Kataeva
★ 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
Ekaterina Mazenina
★ 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
Roman Ginovich
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Vladislav Pertsev
★ 3.7 3 ratings Food & Drink Free Data updated 2026-09-06
Anastasia Limonova
Order , noodles, and drinks
Order food from a variety of menu items including , noodles, rolls, appetizers, desserts, and drinks. Select delivery area and payment method. View order history and earn rewards for registration. Place orders quickly with an intuitive interface.
★ 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
Anastasia Perminova
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
FUDSOUL, OOO
★ 5.0 5 ratings Food & Drink Free Data updated 2026-09-06
Pavel Trushnikov
★ 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
Tatiana Kataeva
★ 1.0 2 ratings Food & Drink Free Data updated 2026-09-06
FUDSOUL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Alekberova Zahra
★ 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
Tatiana Kataeva
★ 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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