Home / Alternatives to Friendly Contacts Manager Apps Like Friendly Contacts Manager for iPhone and iPad
by Denis Popov ★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Ranked alternatives Showing 781–800 of 1,000 ranked alternatives.
金桃 董
★ 5.0 1 ratings Utilities Free Data updated 2026-09-06
Wuhan Aiwujiwu Technology Co., Ltd
★ 5.0 1 ratings Utilities Free Data updated 2026-09-06
EGE EASTERN EUROPE SP Z O O
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
3RABAPP LTD
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Jiazhi Li
★ 0.0 0 ratings Lifestyle $0.99 Data updated 2026-10-12
MIssionary TECH Team
★ 0.0 0 ratings Utilities $1.99 Data updated 2026-09-10
Brizes Kennel Inc.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-14
INNOBULL TECHNOLOGY SOLUTION PRIVATE LIMITED
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Invent App
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Md. Abdul Momen
★ 5.0 1 ratings Utilities Free Data updated 2026-09-06
ONE FORREST ROAD NPC
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
InnoMoS GmbH
★ 0.0 0 ratings Business Free Data updated 2026-09-06
YAYSOFT UYGULAMA GELISTIRME YAZILIM HIZMETLERI LIMITED SIRKETI
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Trackimo LLC
★ 0.0 0 ratings Navigation Free Data updated 2026-09-06
Rafmennt ehf.
★ 5.0 1 ratings Utilities Free Data updated 2026-09-06
APP GLOBAL Zone - FZCO
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Starship Coder
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Evgeny EGOROV
Manage finances across multiple accounts.
The app allows users to record daily transactions and manage multiple accounts including cash, bank, and credit cards. It provides daily, weekly, monthly, and annual reports and supports data export in CSV and OFX formats.
★ 5.0 1 ratings Utilities Free Data updated 2026-11-01
Bruce Long
★ 5.0 1 ratings Utilities Free Data updated 2026-09-06
kushal patel
★ 0.0 0 ratings Utilities 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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