What is ngxsmk-network-optimizer?

This repository describes an application called NGXSMK GameNet Optimizer, said to be a Python based tool for Windows that aims to increase frame rates and reduce network lag while playing competitive games such as League of Legends and Valorant. According to the README, it works by adjusting system processes and power settings for performance, and by monitoring and prioritizing game network traffic over other traffic on the same connection. The listed features include an FPS boost that reallocates system resources, a network analyzer that watches latency and packet loss, a traffic shaper that applies quality of service rules to favor game traffic, a memory optimizer that frees unused RAM, a live dashboard of FPS and ping, pre-built profiles for specific games, and support for managing multiple network connections. The README states the tool runs entirely locally with no telemetry or data collection, though it later lists an active internet connection as a requirement for what it calls live telemetry features, which is not fully explained. Getting started involves cloning the repository and running a Python script called main.py, or running a launcher executable directly on Windows. Settings are said to be stored in a local config.json file that can be edited by hand or through a settings panel, covering things like game profile bindings and traffic shaping rules. The tool is stated to require administrator rights on Windows for the system level and traffic shaping features to work. Repository language is listed as HTML even though the described usage is entirely through a Python script and a Windows executable, and the README does not show the actual source code, only a feature description, a download link to a hosted build, and basic setup instructions. Because administrator privileges and a downloadable executable are involved, and the source itself is not visible in the repository, non-technical readers should treat this the same as any other unfamiliar Windows tool that asks for elevated permissions, and verify it carefully before running it. The project is licensed under GNU GPL version 3.0.