3 repository-uri
Tools that examine source code files to determine their underlying programming language.
Distinct from Programming Languages: Focuses on the identification capability itself, distinct from the languages being identified.
Explore 3 awesome GitHub repositories matching programming languages & runtimes · Language Identification Utilities. Refine with filters or upvote what's useful.
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
Examines source code files to determine the underlying programming language by analyzing extensions, filenames, and content patterns.
Onefetch is a suite of specialized command-line tools designed to fetch system specifications, analyze Git repository metadata, and visualize this data in the terminal. It functions as a system information fetcher and a Git repository information tool, providing a concise overview of hardware, operating system details, and project-level statistics. The project distinguishes itself through a terminal visualizer that utilizes ASCII art, Nerd Font icons, and support for Sixel, Kitty, and iTerm image protocols. It includes a dedicated Git churn analyzer to identify frequently modified files and a
Detects programming languages and displays them using Nerd Font icons.
vim-polyglot is a multi-language Vim plugin that provides a comprehensive bundle of syntax highlighting, automated indentation management, and filetype detection for a wide variety of programming and configuration languages. It serves as a single installation to streamline the development environment by providing integrated support for numerous languages. The project functions as a language support bundle that combines syntax highlighting packs with an indentation manager. It uses both extension-based filetype detection and pattern-based language identification to apply the correct visual for
Analyzes file content to identify the programming language when extensions are missing or ambiguous.