Why I Built a Privacy-First Time Tracker with Python, Tkinter, and SQLite
Most time-tracking applications require an account, store activity in the cloud, or collect more data than users expect. I wanted a simpler alternative: a Windows application that records activity locally, works without an account, and sends no telemetry. That idea became Local Time Tracker , a free and open-source desktop application built with Python, Tkinter, and SQLite. In this article, I…
A new privacy-focused time tracking application called Local Time Tracker has been developed using Python, Tkinter, and SQLite. This Windows desktop application records activity without creating an account, transmitting data to servers, or collecting unnecessary information. The main goal is to provide users with a simple tool that records foreground focus without revealing sensitive information.
The application works by capturing snapshots of the foreground application, its window title, and idle duration. These snapshots are then used to identify activity periods based on changes in application, window title, or idle state. Idle detection has been optimized to accurately track inactivity even with a sliding idle threshold.
All data is securely stored locally in a SQLite database on the user's computer. The application is installed in the %LOCALAPPDATA%\LocalTimeTracker folder and does not require any network connections or additional servers. The SQLite database can be easily backed up and encrypted using Windows account security.
The Python-based application provides a lightweight Tkinter interface for displaying live activity, tracking daily and weekly statistics, and generating offline HTML reports. These reports can be opened without an internet connection, ensuring the privacy of the user's activity data. To maintain privacy during the development process, contributors are advised to use synthetic data, avoid uploading real activity.db files, and abide by security best practices when reporting vulnerabilities.
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