screen-time
There are 18 repositories under screen-time topic.
Waishnav/Watcher
Minimal open source Screen-Time Tracker for Linux
TarballCoLtd/iOS-Restrictions-Recovery
Finds Screen Time/Restrictions passcodes on iOS 7-12 (by @tarbaII)
kylecorry31/ScreenTime
Track and view how much you use your computer.
AI-Yash/screen-time-cv
An application for measuring screentime, but using cv
AndyKuz/ScreenTimeAppNew
Self improvement ios app that uses accountability between friends to help you reach your goals
tawtsvenz/GuardianLock
Set Android device Lock Times, Limit Usage, Monitor Device Usage and Screen time
iamtalhaasghar/daily_usage_limit_win7
A simple script to control daily usage of computer in windows 7 so that your younger brother doesn't play games all day along.
kris701/GameWatch
A Screen Time-like Application for Windows
mrusme/shell-time
Screen Time, but for the Shell!
SuriyaaVijay/Digital-Wellbeing
Digital Wellbeing for Linux is an open-source project designed to promote healthy digital habits and improve overall well-being. With a focus on monitoring screen time, managing app usage, and providing valuable insights, this project aims to empower users to take control of their digital lives.
taksheels/ScreenPass
A safari bypass for iOS Screentime
MCTzOCK/ScreenTime
Watch your ScreenTime
Terabyte1385/InTheShade
Open Safari's Private Browsing Mode when your workplace, school or parents won't let you.
tomstumshais/screen-time-counter-google-chrome-extension
Chrome extension which helps you to track your daily working time while you are staring at screen and while you are off of it.
ventsip/ph
PH (Process Hunter) controls OS processes to effectively implement 'Screen Time' on desktop or laptop computers
Resilience-Time-Manager/Time-Manager
Chrome extension to track screen time with an emphesis on SEL
thisrabbit/Screen-Time-on-Chrome
An open-source Chrome extension which implements full screen time functionality. (Under development)
Vineeshavilla/Screen-Time-Analysis
This project analyzes the time spent on applications and websites using a dataset that includes usage time, notifications received, and app openings. It visualizes trends and relationships using Python and Plotly, highlighting the correlation between notifications and app usage.