Awesome GitHub RepositoriesCode Beautifiers

UglifyJS2 is a suite of tools designed for parsing, beautifying, mangling, and minifying JavaScript code. It functions by converting source code into an abstract syntax tree to enable programmatic analysis and transformation, and it includes a dedicated generator for creating associated source maps. The project optimizes web production builds by compressing script logic and removing unreachable code. It utilizes name mangling to shorten variable and property names and implements a beautifier to reconstruct compressed scripts into a human-readable layout. The toolset covers broad capability a

UglifyJS is a tool for JavaScript code minification, AST manipulation, and source beautification. Its primary purpose is to reduce the file size of JavaScript source code by removing whitespace and shortening variable names to optimize frontend build assets. The project differentiates itself through its ability to programmatically analyze and transform code using abstract syntax trees. It performs constant folding analysis and conditional compilation to eliminate unreachable or redundant code, and it employs a multi-pass compression pipeline to maximize total file size reduction. The tool pr

Terser is a JavaScript minifier and compressor designed to reduce file size through whitespace removal, symbol mangling, and logic optimization for ES6+. It functions as a toolkit for minification, a code mangler for shortening variable and property names, and a dead code eliminator that evaluates constant expressions to remove unreachable logic. The project operates as an AST toolkit that parses JavaScript source into SpiderMonkey AST format for structural analysis. It generates source maps to link compressed production code back to the original source, ensuring that minified bundles remain

js-beautify is a web language beautifier and rule-based code stylizer designed to standardize the indentation and layout of JavaScript, HTML, and CSS. It converts minified or obfuscated source code into a human-readable format to improve maintainability and readability. The system enforces consistent coding styles through global configuration files and programmatic options. It also supports local formatting overrides, allowing users to control behavior for specific sections of a file using embedded comment directives. The project provides capabilities for source code style enforcement and we

LLM4Decompile es un conjunto de herramientas y framework para la traducción de código binario a código fuente. Utiliza modelos de lenguaje de gran tamaño (LLM) para transformar código máquina en código fuente legible y recuperar la lógica original de ejecutables compilados. El proyecto incluye un pipeline especializado para generar datasets de entrenamiento sintéticos convirtiendo código fuente en pares de ensamblador. Proporciona un framework de fine-tuning para optimizar modelos de deep learning en estos datasets de binario a fuente, aumentando la precisión de la recuperación de código. El sistema también cuenta con capacidades para refinar pseudocódigo descompilado. Este proceso se centra en restaurar el esqueleto estructural y los nombres de variables de un binario para mejorar la legibilidad de la lógica desensamblada.

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