Home / Alternatives to mOcevidnik Apps Like mOcevidnik for iPhone and iPad
by Ministry of Agriculture ★ 0.0 0 ratings Business Free Data updated 2026-09-19
Ranked alternatives Showing 181–200 of 731 ranked alternatives.
ENERGA-OPERATOR SA
Observe electricity consumption and usage patterns.
The app allows users to observe their electricity consumption. Users can verify meter readings, compare energy usage over different periods, and assess their tariff optimization.
★ 1.0 1 ratings Utilities Free Data updated 2026-10-20
Ofir d.o.o.
★ 0.0 0 ratings Business Free Data updated 2026-09-06
GoldBear Technologies llc
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Carlos Caceres
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Tecwi Engineering GmbH
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Aiss, d.o.o.
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Giro Credito S.R.L
★ 5.0 1 ratings Finance Free Data updated 2026-09-06
Ding Applications d.o.o.
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Monri Payments d.o.o.
★ 0.0 0 ratings Productivity Free Data updated 2026-09-20
srdjan tesla
★ 0.0 0 ratings Business Free Data updated 2026-09-06
ONIX INFORMATIKA d.o.o.
★ 0.0 0 ratings Business Free Data updated 2026-09-21
Keeprop doo
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
INSTYTUT STUDIOW PROGRAMISTYCZNYCH S A
★ 0.0 0 ratings Business Free Data updated 2026-09-22
Rento UAB
★ 5.0 1 ratings Utilities Free Data updated 2026-09-11
Ministarstvo pravosudja, uprave i digitalne transformacije
★ 1.0 1 ratings Business Free Data updated 2026-09-06
Carlos Caceres
★ 1.0 1 ratings Utilities Free Data updated 2026-09-06
Slovak Telekom, a.s.
★ 0.0 0 ratings Business Free Data updated 2026-09-13
Infonet Consultores Informaticos S. L.
★ 0.0 0 ratings Productivity Free Data updated 2026-09-11
TIKA - ZLATNIK d.o.o.
★ 0.0 0 ratings Business Free Data updated 2026-09-27
MOBILISIS d.o.o.
★ 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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