Linux Kernel Manager Pro is a modern, Cyberpunk-themed Graphical User Interface (GUI) tool designed to monitor and manage Linux kernel parameters, CPU/GPU performance, and system resources in real-time. Built with Python and customtkinter, it provides a powerful yet user-friendly dashboard for Linux enthusiasts and power users.
Linux Kernel Manager Pro is a modern Graphical User Interface (GUI) tool developed to manage Linux kernel parameters, CPU/GPU frequencies, and power profiles. It is written in Python using the customtkinter library. 🚀 Features
CPU Management:
Change Frequency Scaling Governors (performance, powersave, schedutil, etc.).
Fine-tune EPP (Energy Performance Preference) settings.
Set Min/Max frequency limits.
Real-time per-core usage and frequency monitoring.
GPU Management:
Live tracking of usage, temperature, and VRAM.
Power profile management for NVIDIA, AMD, and Intel GPUs.
Memory & Disk Optimization:
ZRAM management (Algorithm and size configuration).
Disk I/O scheduler switching (bfq, kyber, mq-deadline, etc.).
Real-time RAM and Disk I/O monitoring.
System Persistence:
Save your optimized settings as a systemd service to apply them automatically on every boot.
Modern UI/UX:
Cyberpunk aesthetic with Dark and Light mode support.
Multilingual support (English & Turkish) via translate.json.
📦 Installation & Usage Method 1: Docker (Recommended)
This is the safest way to run the application without messing with system dependencies. It uses privileged mode to access host hardware.
Clone the repository:
Bash
git clone https://github.com/ByPythonCoder/linux-kernel-manager.git cd linux-kernel-manager
Run with Docker Compose: Bash
docker compose up --build
Method 2: Create a Standalone Binary
You can compile the application into a single portable binary using the provided Nuitka-based script (requires Docker):
Change frequency scaling governors (performance, powersave, schedutil, etc.).
Configure EPP (Energy Performance Preference) settings.
Set Min/Max frequency limits.
Core-specific usage and frequency monitoring.
GPU Management:
Real-time usage, temperature, and VRAM tracking.
Power profile (Governor) switching (Supports NVIDIA, AMD, and Intel).
Memory and Disk:
RAM usage monitoring and ZRAM management (Change algorithm and size).
Disk I/O scheduler switching (bfq, kyber, mq-deadline, etc.).
Persistence:
Save settings as a systemd service to apply them automatically at every boot.
Modern Interface:
User-friendly interface with a Cyberpunk theme and support for dark/light modes.
📦 Installation and Execution Method 1: Docker (Recommended)
The safest way to run the application without cluttering your system.
Clone the repository:
Bash
git clone https://github.com/ByPythonCoder/linux-kernel-manager.git cd linux-kernel-manager
Launch the application: Bash
# If the docker-compose plugin is installed:
docker compose up --build
Method 2: Create a Single Binary File
You can use the compile.sh script to turn the application into a single portable executable (requires Docker):
Bash
chmod +x compile.sh ./compile.sh
The resulting executable will be named KernelManager. Method 3: Manual Installation
If you prefer to run it locally, ensure you have the system dependencies (Python, Tkinter, pciutils, etc.) installed: Bash
pip install -r requirements.txt python3 main.py
🛠️ Tech Stack
Language: Python 3
GUI Framework: customtkinter (based on Tkinter)
Compilation: Nuitka
Containerization: Docker & Docker Compose
System Tools used: pciutils, dmidecode, util-linux, kmod, network-manager
📜 License
This project is licensed under the MIT License. See the LICENSE file for details.
Note: This application requires root/sudo privileges to modify kernel parameters and hardware settings.
After completion, an executable file named KernelManager will be created in the directory. Method 3: Manual Installation (For Developers)
Required system packages: python3-tk, dmidecode, pciutils, util-linux. Bash
pip install -r requirements.txt python main.py