Backlog Tracker

A lightweight cross-platform desktop application that helps students calculate, track, and systematically clear academic backlogs.

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Features

• Smart Backlog Clearance Calculations: Dynamically computes when you will clear your backlogs based on current target pacing.
• Classes Per Day (CPD) Tracking: Plan and adjust your target daily watches.
• Sunday-Aware ETA Prediction: Accurate completion dates that take into account whether new classes are released/skipped on Sundays.
• Data Export & Import/Merge:
  • Export your entire progress to a portable JSON backup file.
  • Import full backups, or import a course-only design layout (with automatic Setup Wizard validation and setup).
  • Built-in validation helper with immediate success/error visual feedback.
• Keyboard Shortcuts:
  • Ctrl + S: Sync/Save changes
  • Ctrl + Z: Undo last change
  • Ctrl + ,: Open Settings Modal
• Undo Support: Access a 20-step local change undo stack from the footer or via shortcut to revert mis-clicks.
• Last Studied Badges: Automatically tracks and displays the "Last studied" timestamp for every subject when you mark a class completed.
• Settings Panel: Tweak your appearance mode (Light/Dark) and show/hide motivational productivity prompts dynamically.
• Time Simulator: Fast-forward days, weeks, or months to preview the compound effects of neglecting core daily study targets.

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Screenshots

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Installation

Android Version Code Here: Android

Download the latest release for your platform:

Platform	Download
Windows	BacklogTracker_Setup.exe
Linux	BacklogTracker_Linux.tar.gz
macOS	BacklogTracker_macOS.zip (untested)
Android	BacklogTracker-{tag}.apk
Web Version (unstable)	backlogtracker.debojitworkers.qzz.io

All releases: github.com/debojitsantra/BacklogTracker/releases

Linux — Emoji Support

If emojis appear as blank squares, install the Noto Color Emoji font:

sudo apt install fonts-noto-color-emoji -y

Required on Ubuntu/Debian-based distros. Not needed on most modern distros that ship with it by default.

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Local Development

Install dependencies

pip install customtkinter pillow pyinstaller darkdetect

Run locally

python backlog_tracker.py

Build executable

pyinstaller backlog_tracker.spec --noconfirm

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Releases via CI/CD

To deploy and package using the automatic multi-platform CI/CD pipeline:

git tag v1.1.0
git push origin v1.1.0

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Author

github.com/debojitsantra

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