A real-time system monitoring dashboard built with Python and Tkinter, specifically designed for Windows 11. The dashboard displays live system telemetry including CPU usage, memory consumption, disk I/O, network activity, GPU monitoring, audio interface metrics, and system temperatures.

• Real-time Monitoring: Updates every 500ms for responsive system monitoring
• Comprehensive Metrics:
  • CPU usage percentage and frequency
  • Memory usage with detailed breakdown
  • Disk I/O read/write speeds and usage
  • Network upload/download speeds and total transfer
  • GPU usage, memory, and temperature (NVIDIA and general GPU support)
  • Audio interface metrics (sample rate, bit depth, buffer size)
  • System temperatures (CPU/GPU) and uptime
• Color-coded Indicators: Visual alerts for high resource usage
• Dark Theme: Professional dark interface optimized for extended use
• Low Resource Usage: Efficient background data collection
• Windows 11 Optimized: Leverages Windows-specific APIs for accurate data

• Windows 11 (or Windows 10)
• Python 3.7 or higher
• Administrator privileges (recommended for temperature monitoring)

1. Clone or download the project files

   # If using git
   git clone <repository-url>
   cd windows-telemetry-dashboard

2. Install Python dependencies

   pip install -r requirements.txt

   Or install manually:

   pip install psutil WMI matplotlib GPUtil pycaw comtypes nvidia-ml-py3

3. Run the dashboard

   python dashboard.py

python dashboard.py

The dashboard will open in a new window and immediately start collecting and displaying system metrics.

The dashboard is organized into seven main sections:

1. CPU Panel

   • Current CPU usage percentage
   • CPU frequency in MHz
   • Number of CPU cores

2. Memory Panel

   • Memory usage percentage
   • Used, available, and total memory in human-readable format

3. Disk I/O Panel

   • Real-time read/write speeds
   • Overall disk usage percentage

4. Network Panel

   • Upload and download speeds
   • Total data transferred since startup

5. Temperature & Status Panel

   • CPU temperature (when available)
   • System uptime

6. GPU Panel

   • GPU usage percentage
   • GPU memory usage and percentage
   • GPU temperature
   • GPU name/model

7. Audio Interface Panel

   • Audio sample rate (kHz)
   • Bit depth and channel configuration
   • Buffer size
   • Audio device name

The dashboard uses color coding to indicate system health:

• Green: Normal operation
• Orange: Moderate usage (warning)
• Red: High usage (critical)

CPU Usage:

• Green: < 60%
• Orange: 60-80%
• Red: > 80%

Memory Usage:

• Green: < 70%
• Orange: 70-85%
• Red: > 85%

Temperature:

• Green: < 65°C
• Orange: 65-80°C
• Red: > 80°C

• Data Collection: Background thread using psutil and WMI libraries
• GUI Framework: Tkinter with custom dark theme styling
• Update Frequency: 500ms refresh rate for real-time monitoring
• Threading: Non-blocking data collection to maintain responsive UI

• psutil: Cross-platform system and process utilities
• WMI: Windows Management Instrumentation for temperature data
• matplotlib: Plotting library for real-time graphs
• GPUtil: GPU monitoring and statistics
• nvidia-ml-py3: NVIDIA GPU monitoring via NVML
• pycaw: Windows Core Audio API for audio device information
• comtypes: COM interface support for Windows APIs

Temperature Monitoring: Temperature monitoring requires WMI access and may need administrator privileges. If WMI is not available or accessible, the dashboard will:

• Display a fallback estimated temperature based on CPU usage
• Continue to function normally for all other metrics
• Show a warning message in the console

GPU Monitoring: GPU monitoring supports multiple detection methods:

• NVIDIA GPUs via NVML (nvidia-ml-py3) for detailed metrics
• General GPU detection via GPUtil for broader compatibility
• Graceful fallback when no GPU libraries are available

Audio Interface Monitoring: Audio monitoring provides interface specifications:

• Sample rate, bit depth, and channel configuration
• Buffer size information
• Default audio device detection
• Graceful handling when audio APIs are unavailable

1. "WMI not available" message

   • Install WMI: pip install WMI
   • Run as administrator for better hardware access

2. Temperature shows 0°C or unrealistic values

   • Run the application as administrator
   • Some systems may not expose temperature sensors via WMI

3. High CPU usage from the dashboard itself

   • This is normal during the first few seconds as metrics stabilize
   • If persistent, check for other system issues

4. Network speeds show as 0

   • Wait a few seconds for initial measurements to stabilize
   • Ensure network activity is present for accurate readings

• The dashboard uses minimal system resources (typically < 1% CPU)
• Memory usage is optimized with efficient data structures
• Background data collection runs in a separate thread

To change the update frequency, modify these values in dashboard.py:

# In data_collection_loop method
time.sleep(0.5)  # Change to desired interval in seconds

# In update_gui method
self.root.after(500, self.update_gui)  # Change to desired interval in milliseconds

The dashboard is designed to be extensible. To add new metrics:

1. Add data collection in the SystemMetrics.update_metrics() method
2. Create a new panel in the TelemetryDashboard.create_widgets() method
3. Update the GUI in the TelemetryDashboard.update_gui() method

This project is open source and available under the MIT License.

Contributions are welcome! Please feel free to submit pull requests or open issues for bugs and feature requests.

• Primary Target: Windows 11
• Secondary Support: Windows 10
• Python Versions: 3.7, 3.8, 3.9, 3.10, 3.11, 3.12
• Architecture: x64, x86 (ARM support depends on Python installation)