A desktop app that logs work hours and notifies you when it's time to leave the office.
Time to Leave is a desktop application that helps users track their work hours and get notified when it's time to leave the office. It calculates departure times based on logged start times and configured lunch breaks, promoting a healthier work-life balance. The app runs on Windows, macOS, and Linux, providing a simple, automated way to avoid overworking.
Remote workers, office employees, freelancers, and anyone who wants to maintain consistent work hours and avoid burnout. It's ideal for individuals who need reminders to end their workday on time.
Unlike complex time-tracking tools, Time to Leave focuses solely on work-hour logging and departure notifications with a lightweight, user-friendly interface. It's completely free, open-source, and respects user privacy without requiring cloud accounts or subscriptions.
Log work hours and get notified when it's time to leave the office and start to live.
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Available for Windows, macOS, and Linux with a consistent user experience, as highlighted by the platform badges and download options in the README.
Users can enable or disable desktop alerts for departure times, with preferences for work days and hours, illustrated in the preferences screenshot.
The app is open-source, free, and doesn't require cloud accounts, respecting user data as mentioned in the privacy policy link and value proposition.
Allows adding waivers for non-working days to keep records accurate, shown in the waiver manager image, which helps maintain flexibility for holidays or time off.
Users must manually enter start times each day, which can be inconvenient and prone to forgetfulness, unlike automated trackers that detect activity.
Focuses only on basic logging and notifications; lacks advanced features like reporting, data export, or integrations with calendars or project tools.
Data is stored locally without sync options, so there's no way to access or backup work hours across multiple devices, limiting mobility and data safety.