Home / Alternatives to LiveLib – рекомендации книг Apps Like LiveLib – рекомендации книг for iPhone and iPad Read, rate, and share book recommendations
Track reading progress with a personal book diary, mark completed books, and save favorites. Browse curated recommendations and new releases. Leave comments and rate books. Access user-generated reviews and descriptions.
by Zhivaya Biblioteka OOO ★ 4.7 416 ratings Book Free Data updated 2026-09-09
LiveLib – рекомендации книг screenshots Ranked alternatives Showing 761–780 of 1,000 ranked alternatives.
ITMO University
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Grigorii Kruteev
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
Adnan Zjajo
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
EDISON OOO RU
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
Aleksandr Pavlov
★ 0.0 0 ratings Book Free Data updated 2026-09-14
INFOPROJEKT D.O.O. Skopje
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
Imanil Binyaminov
★ 0.0 0 ratings Book Free Data updated 2026-09-06
Aleksandr Pavlov
★ 0.0 0 ratings Book Free Data updated 2026-09-14
Mykola Levchenko
★ 0.0 0 ratings Education Free Data updated 2026-09-06
PEGAS GRUPP, OOO
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
Aleksei Grigoriev
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
Ildar Iakupov
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
Kostiantyn Anatoliiovych Tverdokhlib
★ 0.0 0 ratings Book Free Data updated 2026-09-06
Alexey Burin
★ 0.0 0 ratings Entertainment Free Data updated 2026-09-09
Frol Chizhov
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Andrii Syvan
★ 0.0 0 ratings Book Free Data updated 2026-09-06
Andrii Syvan
★ 0.0 0 ratings Book Free Data updated 2026-09-06
Andrii Syvan
★ 0.0 0 ratings Book Free Data updated 2026-09-06
Andrii Syvan
★ 0.0 0 ratings Book Free Data updated 2026-09-06
Andrii Syvan
★ 0.0 0 ratings Book Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
Previous Next