https://github.com/palaashatri/nvidia-smi-tk

A real-time graphical interface for monitoring NVIDIA GPU status using nvidia-smi, with color-coded metrics, process table, and power limit adjustment.
https://github.com/palaashatri/nvidia-smi-tk

gpu gui linux nvidia nvidia-smi python tk tools windows

Last synced: 2 months ago
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A real-time graphical interface for monitoring NVIDIA GPU status using nvidia-smi, with color-coded metrics, process table, and power limit adjustment.

• Host: GitHub
• URL: https://github.com/palaashatri/nvidia-smi-tk
• Owner: palaashatri
• License: mit
• Created: 2025-06-29T19:27:06.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2026-01-25T06:22:22.000Z (5 months ago)
• Last Synced: 2026-03-30T09:00:06.932Z (3 months ago)
• Topics: gpu, gui, linux, nvidia, nvidia-smi, python, tk, tools, windows
• Language: Python
• Homepage: https://palaashatri.github.io/nvidia-smi-tk/
• Size: 21.5 KB
• Stars: 3
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# NVIDIA-SMI GUI Monitor

A real-time graphical interface for monitoring NVIDIA GPU status using `nvidia-smi`, with color-coded metrics, process table, and power limit adjustment.

Now with DARK MODE!



## Overview

This application provides a user-friendly GUI that displays key NVIDIA GPU information in real-time, updating every 2 seconds. It is built with Python's Tkinter library and uses the `nvidia-smi` command to fetch GPU status and running processes.

## Features

- 🔄 **Real-time monitoring** - Updates every 2 seconds automatically

- 🎨 **Color-coded display** - Visual indicators for utilization, memory, temperature, and power draw

- 📊 **Process monitoring** - Table of running GPU processes (PID, name, memory usage)

- ⚡ **Power limit control** - Adjust GPU power limits with validation (requires admin privileges)

- 📋 **Full nvidia-smi output** - Collapsible section showing complete nvidia-smi information

- 🛡️ **Error handling** - Graceful handling of missing drivers or command failures

- 🌐 **Cross-platform** - Compatible with Windows, Linux, and macOS

- 🪶 **Lightweight** - No external dependencies, uses only Python standard library

## Project Structure

```

pytk-nvidia-smi-gui/

├── App.py              # Main application file

├── requirements.txt    # Project dependencies (Python stdlib only)

├── LICENSE            # MIT License

└── README.md          # This file

```

## Prerequisites

### Hardware Requirements

- NVIDIA GPU with compatible drivers installed

- NVIDIA driver version that supports `nvidia-smi` command

### Software Requirements

- Python 3.6 or higher

- Tkinter (usually included with Python installation)

- NVIDIA drivers with `nvidia-smi` utility

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Author

Palaash Atri

## Acknowledgments

- NVIDIA for the `nvidia-smi` utility

- Python Software Foundation for Tkinter

- The open-source community for inspiration and feedback

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Made with ❤️ for GPU monitoring enthusiasts