Home / Alternatives to docM Apps Like docM for iPhone and iPad
by Konzept-iX Software GmbH ★ 0.0 0 ratings Education Free Data updated 2026-09-06
Ranked alternatives Showing 141–160 of 1,000 ranked alternatives.
Scopevisio DevOps GmbH
★ 0.0 0 ratings Productivity Free Data updated 2026-09-10
Matysik Beteiligungs GmbH
★ 0.0 0 ratings Productivity Free Data updated 2026-09-09
Matysik Beteiligungs GmbH
★ 0.0 0 ratings Productivity Free Data updated 2026-09-12
MensaMax GmbH
★ 2.3 3 ratings Food & Drink Free Data updated 2026-09-06
HigherMind UG (haftungsbeschrankt)
★ 5.0 1 ratings Education Free Data updated 2026-09-06
United Soft Media Verlag GmbH
★ 4.6 5 ratings Education $2.99 Data updated 2026-09-06
Sebastian Fiedlschuster
★ 0.0 0 ratings Education Free Data updated 2026-09-06
RICHARD BOORBERG Verlag GmbH & Co KG
★ 0.0 0 ratings Education Free Data updated 2026-09-08
Daniel Roth
★ 0.0 0 ratings Education Free Data updated 2026-09-09
Heinz Mattes
★ 0.0 0 ratings Education Free Data updated 2026-09-06
ORGArena GmbH
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Pflanzmich GmbH
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-10
bellmatec GmbH & Co. KG
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Uwe Bergner
Learn about computer science pioneers and guess
Provides information on 18 men and women from three centuries who made significant contributions to computer science. Includes a quiz game where users guess a hero based on clues similar to "Wer bin ich?".
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Paragraph-Software GmbH
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
InfectioSaar Netz
★ 5.0 1 ratings Medical Free Data updated 2026-09-06
Universitaet Hamburg
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Triboot Technologies GmbH
★ 0.0 0 ratings Games Free Data updated 2026-09-06
SORBA EDV AG
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Fabrik 19 AG
★ 0.0 0 ratings Travel 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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