Auto PY to EXE is a desktop application that provides a graphical interface for converting Python scripts (.py) into standalone Windows executables (.exe) using PyInstaller under the hood. The application is structured as a Python package with a web-based frontend served locally via the Eel framework, which bridges JavaScript UI components with a Python backend. The backend handles argument parsing, configuration management, file dialogs (via tkinter), and orchestrates PyInstaller execution, capturing logs and output to display in real-time in the browser UI. The tool supports a wide range of PyInstaller options, including onefile/onedir modes, console hiding, icon assignment, additional files, and many advanced flags, all exposed through a dynamically generated settings panel. It also includes version checking against GitHub API for both itself and PyInstaller, along with compatibility shims (e.g., for Python 3.12 bottle issues). The codebase is well-organized into distinct modules (validation, packaging, UI, dialogs, utils, shims) with a clear separation between Python backend and frontend presentation, though some cross-module coupling exists via a global config singleton. Tests cover basic packaging, library imports, and dependency availability, though they are limited in scope.
de4py is a comprehensive Python deobfuscation and reverse engineering tool designed primarily for Windows environments. It combines a native PySide6 GUI with a CLI interface to analyze, unpack, and clean obfuscated Python scripts and PyInstaller executables. The core functionality relies on a modular engine architecture that supports multiple deobfuscation strategies, including legacy regex-based detection and the newer 'Onyx' engine which utilizes AST manipulation and local LLM integration for semantic recovery. It also features native C++ components for process injection and behavior monitoring, allowing users to hook into running Python processes for dynamic analysis. The architecture is split between high-level Python logic for AST transformation and low-level C++ code for system interaction. The Python side manages the deobfuscation pipeline, UI rendering, and plugin management, while the C++ side handles DLL injection, API hooking via Detours, and named pipe communication. This hybrid approach provides powerful capabilities but introduces significant platform coupling and dependency on specific Windows APIs and Python versions. The tool is licensed under CC BY-NC-4.0, restricting commercial use. While the codebase demonstrates sophisticated engineering in areas like VM lifting and AST optimization, it carries risks associated with external API dependencies (telemetry, updates), brittle regex signatures for obfuscation detection, and heavy reliance on Windows-specific system calls. It is best suited for security researchers and malware analysts working in Windows environments who require a unified static and dynamic analysis platform.
This repository is a full-stack web application, 'BypassAIGC', functioning as an AI-powered academic writing assistant. Its core operational logic, confirmed by code analysis of its two-stage 'polish' and 'enhance' pipeline and configuration flags, is to rewrite text to evade detection by AIGC classifiers like GPTZero. It is a monolithic application built with a FastAPI backend and a React frontend, packaged for standalone deployment via PyInstaller. The codebase features a highly sophisticated, deterministic Word document formatting engine (`word_formatter`) that parses markdown into a Document AST, renders it to OOXML, validates the structure against a StyleSpec, and applies patch-based auto-corrections. This module demonstrates exceptional craftsmanship in document engineering. While functionally complete, the application suffers from significant technical debt. This includes critical security vulnerabilities (default secrets, permissive CORS, plaintext API key storage), ad-hoc database migrations, duplicated application entry points, and incomplete features (e.g., PDF export is a stub). The project is maintained but carries a high risk of technical drift, making it unsuitable for production deployment without substantial hardening.