PySysMoniter

A little gui to see system metrics

This Python script is designed to monitor and display CPU, Disk, and NVIDIA GPU usage in real time. It uses the psutil library to track CPU and disk usage, and GPUtil to monitor the GPU usage specifically for NVIDIA GPUs. The results are displayed in a CustomTkinter GUI, which is a modern and visually appealing alternative to the standard Tkinter library.

Libraries Used

• psutil: Used to retrieve system information such as CPU usage and disk usage.
• GPUtil: A Python library used to interact with NVIDIA GPUs and retrieve GPU usage information.
• customtkinter: An extension of the Tkinter library that provides a modern and customizable GUI with a dark mode.

Key Functions

1. get_gpu_usage()

This function checks for NVIDIA GPUs using the GPUtil.getGPUs() method and retrieves their memory usage as a percentage. If no NVIDIA GPUs are found, it returns a message indicating that.

def get_gpu_usage():
    try:
        # Check for NVIDIA GPUs using GPUtil
        gpus = GPUtil.getGPUs()
        if gpus:
            gpu_usage = []
            for gpu in gpus:
                usage = gpu.memoryUtil * 100  # GPU memory utilization as percentage
                gpu_usage.append(f"NVIDIA GPU {gpu.id}: {usage}%")
            return '\n'.join(gpu_usage)
        else:
            return "No NVIDIA GPUs found."
    except Exception as e:
        return "Error retrieving NVIDIA GPU usage."

2. monitor_usage()

This function collects real-time system information:

• CPU Usage using psutil.cpu_percent()
• Disk Usage for the C drive using psutil.disk_usage()
• GPU Usage using the get_gpu_usage() function

It formats these values into a readable string that displays the current system usage.

def monitor_usage():
    # Get CPU usage
    cpu_usage = psutil.cpu_percent(interval=1)
    
    # Get Disk usage for C drive (or modify as needed)
    disk_usage = psutil.disk_usage('C:\\')
    
    # Get GPU usage (NVIDIA only)
    gpu_usage = get_gpu_usage()
    
    # Return formatted usage details
    return f"CPU Usage: {cpu_usage}%\nDisk Usage: {disk_usage.percent}%\nGPU Usage:\n{gpu_usage}"

3. update_display(status_label)

This function updates the CustomTkinter window with the current system usage information every second. It continuously calls the monitor_usage() function and updates the text of the label on the GUI.

def update_display(status_label):
    usage = monitor_usage()  # Get the updated usage info
    status_label.configure(text=usage)
    status_label.after(1000, update_display, status_label)  # Update every 1 second

4. create_gui()

This function sets up the CustomTkinter window. It initializes the window, sets the dark mode theme, creates a label to display system usage, and starts the update loop that continuously refreshes the displayed information.

def create_gui():
    # Initialize the window
    root = ctk.CTk()
    root.title("System Usage Monitor")
    
    # Set dark mode appearance
    ctk.set_appearance_mode("dark")
    
    # Create a label to display system usage
    status_label = ctk.CTkLabel(root, text="Loading system usage...", anchor="w")
    status_label.pack(pady=10, padx=20, fill="x", anchor="w")
    
    # Start the display update loop
    update_display(status_label)
    
    # Run the Tkinter main loop
    root.mainloop()

5. __main__ Block

The if __name__ == "__main__": block ensures that the create_gui() function is called when the script is executed directly.

if __name__ == "__main__":  
    create_gui()

How It Works

• The get_gpu_usage() function checks for available NVIDIA GPUs and fetches their memory utilization.
• CPU usage is updated every second using psutil.cpu_percent(interval=1).
• Disk usage is fetched using psutil.disk_usage(), which returns the disk usage for a given path (the script checks the C drive by default).
• GPU usage is retrieved using GPUtil.getGPUs(), which accesses the NVIDIA GPUs on the system and reports their memory usage.
• The GUI is created using customtkinter in dark mode, and the system usage information is displayed in real-time on the GUI.

Requirements

Make sure to install the required libraries before running the script:

pip install psutil GPUtil customtkinter

Running the Script

Once the dependencies are installed, simply run the script and a GUI window will appear displaying your system's real-time CPU, Disk, and GPU usage.

Example Output in the GUI:

CPU Usage: 45%
Disk Usage: 72%
GPU Usage:
NVIDIA GPU 0: 38%

Error Handling

• If no NVIDIA GPU is found on the system, the script will display the message: "No NVIDIA GPUs found."
• If there’s an error when retrieving GPU usage (e.g., if GPUtil encounters an issue), it will display: "Error retrieving NVIDIA GPU usage."

Conclusion

This application provides a simple and intuitive way to monitor system resources, specifically CPU, Disk, and NVIDIA GPU usage, all through a clean, modern GUI built with CustomTkinter.