GUI Resource Monitor

Phase 1: Resource Data Collection

Implement real-time monitoring of system resources.

  • Collect CPU, memory, disk, and network usage periodically
  • Store timestamps and usage data in memory

Functional Output: Application captures live system metrics at regular intervals.

Phase 2: GUI Design and Real-Time Display

Create GUI to display live resource usage with graphs and statistics.

  • Use tkinter or equivalent for layout
  • Update graphs dynamically without freezing UI

Functional Output: Users can view live CPU, memory, disk, and network usage in real-time.

Phase 3: Data Storage and Historical Logging

Persist resource metrics to a local database or file for history tracking.

  • Store timestamped data efficiently
  • Handle large data sets without UI lag

Functional Output: Historical resource data is recorded and retrievable for analysis.

Phase 4: Historical Data Visualization

Enable user to select time intervals to visualize past resource usage.

  • Display graphs/statistics for selected intervals
  • Support zooming, scrolling, and filtering

Functional Output: Users can explore historical resource usage accurately for any interval.

Phase 5: Exporting Graphs and Reports

Allow users to export graphs as JPEG or PDF files.

  • Implement saving of current and historical graphs
  • Include labels, legends, and timestamps

Functional Output: Graphs and reports can be exported in standard formats with accurate data.

Phase 6: Testing, Performance Optimization, and Refinement

Add tests, optimize performance, and improve UI/UX.

  • Unit/integration tests for data collection, storage, and display
  • Optimize refresh rate and memory usage
  • Refine GUI layout, error handling, and responsiveness

Functional Output: Stable, efficient, and user-friendly resource monitor with complete test coverage.