Home / Alternatives to Co Database Apps Like Co Database for iPhone and iPad
by Ka Ting Sun ★ 0.0 0 ratings Reference Free Data updated 2026-09-06
Ranked alternatives Showing 661–680 of 1,000 ranked alternatives.
Ryan Hunter
★ 0.0 0 ratings Health & Fitness $0.99 Data updated 2026-09-06
Timur Isaev
★ 0.0 0 ratings Reference $0.99 Data updated 2026-09-06
ERHAN AKSU
★ 0.0 0 ratings Reference Free Data updated 2026-09-06
PT. Bahtera Informatika
★ 0.0 0 ratings Reference Free Data updated 2026-09-06
The CJK Dictionary Institute, Inc.
Technical terms translated for professionals.
The app provides a Japanese-English technical terms dictionary with approximately 1,000,000 entries across 19 major scientific and technical fields. It offers offline access to translations for professionals, translators, and students.
★ 3.7 3 ratings Reference $9.99 Data updated 2026-09-14
ObjectGraph LLC
★ 5.0 1 ratings Medical Free Data updated 2026-09-06
Amir Wald
★ 0.0 0 ratings Reference Free Data updated 2026-09-06
Liberace AI
★ 5.0 2 ratings Reference Free Data updated 2026-09-06
Oleksii Amosov
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
伟烽 莫
★ 0.0 0 ratings Reference Free Data updated 2026-09-06
Eren GOKA
★ 0.0 0 ratings Reference Free Data updated 2026-09-06
Patrik Ell
★ 5.0 2 ratings Reference Free Data updated 2026-09-06
S&P Global Inc
★ 3.3 3 ratings Business Free Data updated 2026-09-11
Diplomatic Documents of Switzerland
★ 5.0 1 ratings Education Free Data updated 2026-09-08
Miguel Lara Garcia
★ 1.5 2 ratings Food & Drink $2.99 Data updated 2026-09-06
RUI ROBERTO OLIVEIRA SOUSA
★ 0.0 0 ratings Reference Free Data updated 2026-09-06
Leon Loberman
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Trilix Marketing Group, Inc
★ 5.0 2 ratings Business Free Data updated 2026-09-09
Nadiia Martyniuk
★ 1.0 1 ratings Education Free Data updated 2026-09-06
Plant-for-the-Planet Foundation, Stiftung des burgerlichen Rechts
★ 3.5 2 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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