Apps Like LEO Overtime Tracker for iPhone and iPad
Ranked alternatives
Showing 161–180 of 1,000 ranked alternatives.
OnShift X
OnShift Inc
Manage schedules and messages in real-time
Employees can view their schedules in real-time, receive and reply to messages, request shifts and time off, set communication preferences, and access earned but unpaid wages.
AveHR
StarLabs L.L.C
View time entries and track project progress
Track overtime with history logs and pending requests. Apply filters and view detailed records. Access redesigned notifications and home screen. Improve navigation and login flow. Enhance UI with clearer statuses and updated cards.
Enforcement
T2 Systems, Inc.
Real-time information for officers.
The app provides citation issuance for parking enforcement officers. It puts real-time information in their hands via an iOS device, minimizing hardware investment and allowing centralized configuration.
Pulse 360 GCC
GULF CONSOLIDATED CONTRACTORS COMPANY
Record attendance and overtime
Records attendance and overtime hours offline. Tracks activity assignments and geofenced locations. Allows overtime requests and justification submissions. Syncs data when online.
Construction Daily Reports App
Volodymyr Oliennikov
Manage , time cards, and notes
Manage projects with , time cards, notes, and safety checks. Create and send signed PDF . Log hours, add notes, and document inspections. Share photos and track site activities from mobile or tablet.
TimePilot Extreme Blue
TimePilot Corporation
Time clock data collection and calculation.
The app collects data from a TimePilot Extreme Blue time clock, allowing for edits and calculation of total work hours. Supervisors can download data using Bluetooth for real-time calculations and to see who is clocked in.
Planningify : Work timesheet
Alexandre Thil
Track time, plan tasks, export logs
Track hours with a calendar interface to clock in and out, log arrival and departure times, breaks, and notes. Calculate overtime and extra hours.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.