# PyPie Studio > PyPie Studio is an independent engineering studio building high-speed, native desktop utilities and systems software. Everything is offline-first, private by design, and strictly zero-telemetry with no recurring subscriptions. Founded and maintained by Ahmed Yaseen, Computer Engineer & Systems Architect. All applications are built using native technologies (.NET 10 / C#, Avalonia UI, deterministic PowerShell) to deliver sub-millisecond responsiveness and zero cloud dependencies. ## Applications - [NodeRadar Pro](https://pypiestudio.com/apps/noderadar-pro): High-speed desktop local network scanner and host monitor built in C# .NET and Avalonia UI. Features sub-second subnet sweeps, live ping tracking, multi-port inspection, hardware vendor lookup, and intrusion alerts. Zero cloud telemetry with AES-256 encrypted local storage. - [unslop-windows](https://pypiestudio.com/apps/unslop-windows): Safe, fully reversible Windows 10 and 11 debloater script written in pure PowerShell. Removes pre-installed bloatware, turns off diagnostic tracking and frees up idle RAM by up to ~46.5% without breaking Windows Update or the Microsoft Store. ## Studio Architecture & Principles - [About & Manifesto](https://pypiestudio.com/about): The case against bloated, memory-hungry Electron wrappers and the PyPie engineering antidote (native C#, zero runtime bloat). - [Changelog & Releases](https://pypiestudio.com/changelog): Public record of production updates, binary hashes, and release notes across all repositories. - [Privacy Policy](https://pypiestudio.com/privacy): Absolute zero tracking policy. We do not collect cookies, analytics, IP addresses, or telemetry on our website or inside our applications. - [Terms of Service](https://pypiestudio.com/terms): Free and open-source licensing terms (MIT License) with full local ownership. - [Legal Notice](https://pypiestudio.com/legal): Studio identity, trademark guidelines, and open-source project compliance. ## Full Documentation - [Full LLM Manifest](https://pypiestudio.com/llms-full.txt): Complete technical architecture documentation, CLI commands, and feature matrices for LLM indexing and reasoning agents.