Home / Alternatives to Blutzucker-Tagebuch Apps Like Blutzucker-Tagebuch for iPhone and iPad
by Dominic Barra ★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Ranked alternatives Showing 1–20 of 1,000 ranked alternatives.
Nick Sorge
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
groupXS Solutions GmbH
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
FUNKE National Brands Digital GmbH
Calculate ovulation and fertile days easily.
The app calculates the timing of the next period, ovulation, and fertile days. It includes a calendar view, diary function for notes, and expert articles on fertility and health.
★ 4.6 138 ratings Health & Fitness Free Data updated 2026-10-16
Patrick Lochthowe
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
FID Verlag GmbH
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Priority Aktiengesellschaft
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Martin Opitz GmbH
★ 1.0 1 ratings Health & Fitness Free Data updated 2026-09-28
Christian Widmaier
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
VX Media GmbH
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
VX Media GmbH
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
VX Media GmbH
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
VX Media GmbH
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
CLAUDIA NICOLETA GRIMM
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
VX Media GmbH
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
DHZ Fitness Europe GmbH
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-19
Krenek & Sauer GbR
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-28
Kai Nils Ellmauer
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
BG Fitnessstudio GmbH
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Ingo Pawlik
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Tatkraft OHG
★ 0.0 0 ratings Health & Fitness 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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