Awesome GitHub RepositoriesSource Code Language Detectors

highlight.js is a JavaScript syntax highlighter and client-side code formatter that transforms plain text source code into highlighted HTML for web display. It provides syntax highlighting across a wide variety of programming languages. The library includes an automatic language detector that identifies the programming language of a code block to apply the correct highlighting rules without manual tagging. It is designed for web worker compatibility, allowing the highlighting process to run in background threads to prevent the browser interface from freezing during the processing of large vol

Linguist is a programming language detection library designed to identify the languages used within source code files and software repositories. It functions as a repository metadata classifier, providing the automated analysis necessary to generate language statistics and insights for version control platforms. The tool employs a strategy-based detection pipeline that combines multiple identification methods to ensure accuracy. It utilizes heuristic-based pattern matching for file extensions and filenames, supplemented by regex-driven content analysis and Bayesian statistical classification

DeepLX is a self-hosted translation API server that provides free access to DeepL translation services without requiring a paid API token or account. It functions as a token-free proxy, enabling programmatic text translation between languages through a single HTTP endpoint. The server accepts JSON-based requests with source and target language parameters, supporting automatic source language detection and validation of language codes. It processes each translation request independently in a stateless manner, and offers optional bearer token authentication to restrict access to authorized clie

Franc es una biblioteca de detección de lenguaje natural y un identificador de línea de comandos utilizado para determinar el idioma escrito de una muestra de texto. Funciona como un perfilador estadístico de lenguaje que identifica y clasifica texto multilingüe analizando las distribuciones de caracteres. La herramienta emplea un sistema de análisis estadístico basado en trigramas, comparando la frecuencia de secuencias de tres caracteres en una muestra de entrada contra perfiles de referencia. Clasifica las posibles coincidencias de idioma calculando la distancia estadística entre la entrada y estos perfiles, permitiéndole devolver una lista clasificada de idiomas probables. El proyecto proporciona una interfaz de línea de comandos para el análisis de texto y admite la clasificación automatizada de contenido. Utiliza datasets de lenguaje modulares y tablas de n-gramas precalculadas para separar la lógica de detección de los datos de perfil específicos del idioma.