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It is built with Python's Tkinter library and uses the `nvidia-smi` command to fetch GPU status and running processes.\n\n## Features\n\n- 🔄 **Real-time monitoring** - Updates every 2 seconds automatically\n- 🎨 **Color-coded display** - Visual indicators for utilization, memory, temperature, and power draw\n- 📊 **Process monitoring** - Table of running GPU processes (PID, name, memory usage)\n- ⚡ **Power limit control** - Adjust GPU power limits with validation (requires admin privileges)\n- 📋 **Full nvidia-smi output** - Collapsible section showing complete nvidia-smi information\n- 🛡️ **Error handling** - Graceful handling of missing drivers or command failures\n- 🌐 **Cross-platform** - Compatible with Windows, Linux, and macOS\n- 🪶 **Lightweight** - No external dependencies, uses only Python standard library\n\n## Project Structure\n\n```\npytk-nvidia-smi-gui/\n├── App.py              # Main application file\n├── requirements.txt    # Project dependencies (Python stdlib only)\n├── LICENSE            # MIT License\n└── README.md          # This file\n```\n\n## Prerequisites\n\n### Hardware Requirements\n\n- NVIDIA GPU with compatible drivers installed\n- NVIDIA driver version that supports `nvidia-smi` command\n\n### Software Requirements\n\n- Python 3.6 or higher\n- Tkinter (usually included with Python installation)\n- NVIDIA drivers with `nvidia-smi` utility\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Author\n\nPalaash Atri\n\n## Acknowledgments\n\n- NVIDIA for the `nvidia-smi` utility\n- Python Software Foundation for Tkinter\n- The open-source community for inspiration and feedback\n\n---\n\nMade with ❤️ for GPU monitoring enthusiasts\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpalaashatri%2Fnvidia-smi-tk","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpalaashatri%2Fnvidia-smi-tk","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpalaashatri%2Fnvidia-smi-tk/lists"}