{"categories":[{"label":"Text Processing","url":"https://skillfed.io/packages/category/text-processing/2"}],"enrichment":{"capability":"Textstat calculates readability and complexity metrics from text using multiple established formulas, returning grade-level estimates and readability scores.","skillfed_tags":["text-analysis","readability-metrics","nlp"],"use_cases":["Evaluate readability of educational content, documentation, or web copy before publication.","Assess whether written material matches its intended audience's reading level.","Analyze text complexity in academic or publishing workflows to guide revision.","Compare readability across multiple documents or versions to track clarity improvements.","Generate readability reports for content management or accessibility compliance."],"what_it_does":"Textstat is a text analysis library that computes readability and complexity metrics using established linguistic formulas. It provides functions like Flesch Reading Ease, Flesch-Kincaid Grade Level, Gunning FOG, SMOG Index, Coleman-Liau Index, Dale-Chall Readability Score, and others\u2014each returning a numerical score or grade level that estimates the difficulty of comprehending a given text.\n\nThe library supports multiple languages (en_US, de, es, fr, it, nl, pl, ru) with language-specific formula variants, and includes Spanish-specific readability tests. It depends on pyphen for hyphenation and nltk for linguistic processing. Most functions accept plain text and return a single metric; text_standard() synthesizes multiple formulas into a consensus grade estimate.","worth_installing":"Yes. Textstat is actively maintained, has no known vulnerabilities, installs with low friction, and offers a straightforward API for a well-defined task. It is suitable for anyone needing to measure text readability or grade level, whether for educational, editorial, or accessibility purposes. The MIT license removes licensing concerns."},"id":"textstat","links":{"html":"https://skillfed.io/packages/textstat","md":"https://skillfed.io/packages/textstat.md","pypi":"https://pypi.org/project/textstat/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-02-18","license_spdx":null,"license_treatment":"permissive","name":"textstat","python_support":"supports_current","summary":"Calculate statistical features from text"},"popularity":{"monthly_downloads":1378074,"position":3983,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.7.13"}