Home / Alternatives to HUM-ID Apps Like HUM-ID for iPhone and iPad
by hum-id GmbH ★ 5.0 1 ratings Business Free Data updated 2026-09-14
Ranked alternatives Showing 161–180 of 1,000 ranked alternatives.
Peter Kocalka
★ 1.0 1 ratings Lifestyle Free Data updated 2026-09-06
Orbit Irrigation Products Inc.
★ 5.0 1 ratings Business Free Data updated 2026-09-06
SAMCLA-esic SL
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Nobel Systems
★ 1.6 18 ratings Productivity Free Data updated 2026-09-06
ADDIUM, Inc.
★ 3.7 28 ratings Productivity Free Data updated 2026-09-06
Fluidd Technology (AU) Pty Ltd
★ 1.0 2 ratings Utilities Free Data updated 2026-09-06
Ernest Riggen
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Density Inc
★ 5.0 5 ratings Business Free Data updated 2026-09-06
Des-Case Corporation
★ 5.0 1 ratings Business Free Data updated 2026-09-06
Bioteksa S.A. de C.v.
★ 5.0 1 ratings Productivity Free Data updated 2026-09-06
Spectrio, LLC
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
The Manitowoc Company, Inc.
★ 5.0 2 ratings Utilities Free Data updated 2026-09-06
Neuron Technology (Shenzhen) Co., Ltd.
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Honeywell International, Inc.
★ 1.9 10 ratings Business Free Data updated 2026-09-06
KE2 Therm Solutions, Inc
Discover and manage KE2 devices locally
Manage and configure KE2 Therm Controllers and Sensors locally. Discover devices on the network. Adjust settings, monitor temperatures, and view real-time data. Control access permissions and receive system alerts.
★ 4.4 7 ratings Business Free Data updated 2026-09-06
EFG CZ spol. s r.o.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Marco Garripoli
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Gastronics, Inc.
★ 5.0 1 ratings Productivity Free Data updated 2026-09-06
I-TRACKING (THAILAND) COMPANY LIMITED
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Subash S
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
Previous Next