Home / Alternatives to Shift Cover Apps Like Shift Cover for iPhone and iPad
by SHIFT VENTURES LTD ★ 0.0 0 ratings Business Free Data updated 2026-09-06
Ranked alternatives Showing 841–860 of 1,000 ranked alternatives.
Jim Kandias
★ 0.0 0 ratings Business Free Data updated 2026-09-06
MUHAMMAD AWAIS
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Saarni Likeit Oy
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Dayforce Corporation
★ 5.0 1 ratings Business Free Data updated 2026-09-06
Staff Wire LLC
★ 3.0 2 ratings Business Free Data updated 2026-09-13
Udaykumar Krishna
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Serveture, LLC
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Mach 1 Integration, LLC
★ 5.0 1 ratings Business Free Data updated 2026-09-06
ENODO UAB
★ 5.0 2 ratings Business Free Data updated 2026-09-06
TEI SOFTWARE STUDIOS SRL
★ 0.0 0 ratings Utilities Free Data updated 2026-09-19
Magnit, LLC
★ 0.0 0 ratings Business Free Data updated 2026-09-06
ASSURED NURSING INC
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Healthcare Australia Pty Ltd
Healthcare Australia employee information and services.
The app provides employees of Healthcare Australia brands with access to information and services. It allows users to update availability, view shifts, submit timesheets, and access payslips, all integrated with the scheduling system.
★ 1.0 2 ratings Business Free Data updated 2026-10-26
18 Week Support Limited
★ 0.0 0 ratings Business Free Data updated 2026-09-06
WAARDIAN PRIVATE LIMITED
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Ann's Home Care
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Tempfind Inc.
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Global Payments Inc
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Newbridge Marketing, L.L.C.
★ 1.0 2 ratings Business Free Data updated 2026-09-06
Care On Wheels Home Support Service Inc.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-17
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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