A cross-platform desktop application for monitoring system resources (CPU, RAM, Disk, Network) and managing processes, built with GTK4 and PyGObject.

• Dashboard:
  • Real-time CPU (per-core) monitoring with individual progress bars
  • Live Graphs for CPU and RAM usage history
  • Memory & Swap: Detailed breakdown of physical and swap memory usage
  • Network I/O: Real-time upload/download speeds with history graphs
  • Disk I/O: Live read/write performance monitoring
• Process Manager:
  • Comprehensive list of running processes
  • Sort by CPU, Memory, Name, or PID
  • Search/Filter capabilities and one-click process termination
• GPU Monitoring: Multi-vendor support (NVIDIA, AMD, Intel, Apple Silicon) for load and memory tracking
• Storage: Detailed disk usage for all mounted partitions
• System Info: Deep-dive into OS, kernel, and hardware specifications
• Modern UI: Polished GTK4/Adwaita interface with:
  • Linear gradients and glassmorphism effects
  • Responsive card-based layout
  • High-performance custom drawing for real-time graphs
  • Native dark mode support

# Install GTK4 and PyGObject via Homebrew
brew install gtk4 adwaita pygobject3

# Run the application (run.sh creates uv venv with psutil automatically)
./run.sh main.py

sudo apt update
sudo apt install python3-gi python3-gi-cairo gir1.2-gtk-4.0 gir1.2-adw-1 python3-psutil
python3 main.py

sudo dnf install python3-gobject gtk4 python3-psutil
python3 main.py

sudo pacman -S python-gobject gtk4 python-psutil
python3 main.py

1. Download and install MSYS2

2. Open MSYS2 terminal and run:

pacman -S mingw-w64-x86_64-python \
    mingw-w64-x86_64-python-gobject \
    mingw-w64-x86_64-gtk4 \
    mingw-w64-x86_64-adwaita-icon-theme \
    mingw-w64-x86_64-python-psutil

3. Run the application:

python main.py

# macOS - use the provided script (creates uv venv and sets up GTK4 environment)
./run.sh main.py

# Linux
python3 main.py

pc-resource-manager/
├── main.py              # Main GTK4 application
├── monitor_logic.py     # System monitoring logic (psutil)
├── styles.css           # Dark mode CSS styling
├── run.sh               # macOS run script
├── pyproject.toml       # Project configuration (uv)
└── README.md            # This file

• Dashboard:
  • Real-time updates every 1 second
  • Interactive live graphs for CPU, RAM, Network, and Disk I/O
  • Per-core CPU utilization with individual visual progress bars
• Processes:
  • Use the Sort dropdown to prioritize by CPU, Memory, Name, or PID
  • Click "Refresh" to update the process snapshot
  • Select any process and use the "Kill Process" button (with confirmation) to safely terminate it
• Storage: Real-time disk capacity monitoring for all mounted devices
• System: Detailed overview of hardware and OS specifications

MIT License