Qt Productivity Analyzer

A powerful, privacy-focused desktop productivity tracker built with Python and PyQt5. Track your tasks, measure time usage, and gain insights into your productivity with comprehensive analytics and reports.

Features

📋 Task Management

• Create, edit, and delete tasks with detailed descriptions
• Categorize tasks for better organization
• Set task priorities (1-5 scale)
• Estimate time for tasks
• Track task status (pending, in_progress, completed, cancelled)
• Filter tasks by status and category
• Color-coded task display

⏱️ Time Tracking

• Start/stop timer for any task
• Automatic duration calculation
• Add notes to time entries
• View recent time tracking history
• Resume interrupted timers

📊 Statistics & Analytics

• Overview dashboard with key metrics
• Total tasks, completed tasks, and time tracked
• Interactive pie chart showing time distribution by category
• Daily time tracking bar chart (last 7 days)
• Real-time statistics updates

📈 Reports

• Generate weekly, monthly, or custom date range reports
• All-time productivity reports
• Detailed breakdowns by category
• Task completion summaries
• Export reports to HTML or text format

💾 Data Export

• Export all data to CSV or JSON format
• Preserve complete task and time entry history
• Easy data portability

🔒 Privacy & Performance

• Offline-first: All data stored locally in SQLite database
• No cloud dependency: Your data stays on your machine
• Fast performance: Optimized database queries
• Clean Qt design: Native look and feel

Installation

Prerequisites

• Python 3.7 or higher
• pip (Python package manager)

Steps

1. Clone the repository:

git clone https://github.com/BaseMax/qt-productivity-analyzer.git
cd qt-productivity-analyzer

2. Install dependencies:

pip install -r requirements.txt

3. Run the application:

python main.py

Usage

Getting Started

1. Add Categories: Categories are created automatically when you add tasks, or you can add them in the task creation dialog.

2. Create Tasks:

   • Click "Add Task" in the Tasks tab
   • Fill in task details (name, description, category, priority, estimated hours)
   • Click OK to save

3. Track Time:

   • Switch to the Timer tab
   • Select a task from the dropdown
   • Add optional notes
   • Click "Start Timer"
   • Work on your task
   • Click "Stop Timer" when done

4. View Statistics:

   • Navigate to the Statistics tab
   • View overview metrics and charts
   • Charts update automatically when new data is added

5. Generate Reports:

   • Go to the Reports tab
   • Select report type (Weekly, Monthly, Custom Range, or All Time)
   • Click "Generate Report"
   • Export to file if needed

Keyboard Shortcuts

• Ctrl+Q: Quit application
• F5: Refresh all data

Project Structure

qt-productivity-analyzer/
├── main.py                  # Application entry point
├── main_window.py          # Main window and menu
├── database.py             # SQLite database layer
├── task_widget.py          # Task management UI
├── timer_widget.py         # Time tracking UI
├── statistics_widget.py    # Statistics and charts
├── reports_widget.py       # Report generation
├── requirements.txt        # Python dependencies
└── README.md              # This file

Database Schema

The application uses SQLite with the following tables:

• tasks: Stores task information (name, description, category, status, priority, etc.)
• time_entries: Tracks time spent on tasks (start time, end time, duration, notes)
• categories: Manages task categories (name, color)
• settings: Application settings (key-value pairs)

Technologies Used

• PyQt5: GUI framework
• SQLite: Local database
• Matplotlib: Charts and visualizations
• NumPy: Data processing

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Roadmap

Future enhancements planned:

• Task dependencies and subtasks
• Pomodoro timer integration
• Custom productivity goals
• Enhanced data visualization options
• Dark theme support
• Data backup and restore
• Import data from other tools
• Custom category colors
• Task templates
• Productivity insights and suggestions

Support

If you encounter any issues or have questions:

1. Check existing issues on GitHub
2. Create a new issue with detailed information
3. Include steps to reproduce any bugs

Acknowledgments

Built with ❤️ using open-source tools and libraries.

Note: This is an offline-first application. All your data is stored locally on your computer for maximum privacy and security.