{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/5"},{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis"},{"label":"Linguistic","url":"https://skillfed.io/packages/category/text-processing-linguistic"},{"label":"Internationalization","url":"https://skillfed.io/packages/category/software-development-internationalization"},{"label":"Localization","url":"https://skillfed.io/packages/category/software-development-localization"}],"enrichment":{"capability":"Detects which language a text is written in, supporting 75 languages with high accuracy on both short snippets and full sentences using compiled Rust bindings.","skillfed_tags":["language-detection","nlp-preprocessing","rust-bindings"],"use_cases":["Preprocess multilingual datasets for NLP tasks by filtering or routing text based on detected language","Route customer support emails to geographically appropriate teams based on message language","Identify language in social media posts or user-generated content for content moderation or analysis","Validate or correct language metadata in text corpora before training machine learning models","Detect language in short queries or snippets where heavier frameworks perform poorly"],"what_it_does":"Lingua is a language detection library that identifies which of 75 supported languages a given text is written in. It uses compiled Rust bindings for performance and combines rule-based and statistical Naive Bayes methods without relying on neural networks, dictionaries, or external APIs. The library is designed to work well on both long documents and short text fragments like tweets or single words, addressing a gap left by heavier NLP frameworks that often struggle with brief inputs.\n\nThe package started as pure Python but was rewritten with Rust bindings from version 2.0.0 onward to balance speed and memory efficiency. It requires Python 3.12 or later and has no runtime dependencies, making it straightforward to integrate into preprocessing pipelines for text classification, spell checking, email routing, and other NLP tasks where language identification is a preliminary step.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, supports current Python versions, and fills a genuine need for accurate short-text language detection without external dependencies. Medium install friction is acceptable given the performance gains from compiled bindings. Suitable for production NLP pipelines and preprocessing workflows."},"id":"lingua-language-detector","links":{"html":"https://skillfed.io/packages/lingua-language-detector","md":"https://skillfed.io/packages/lingua-language-detector.md","pypi":"https://pypi.org/project/lingua-language-detector/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-09","license_spdx":null,"license_treatment":"permissive","name":"lingua-language-detector","python_support":"supports_current","summary":"An accurate natural language detection library, suitable for short text and mixed-language text"},"popularity":{"monthly_downloads":2747868,"position":2908,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"2.2.0"}