text-stats

# Text Stats Analyze any text document for readability, word count, keyword density, and more. Perfect for content optimization, SEO analysis, or writing improvement. ## Usage ### Full analysis ```bash python3 {baseDir}/scripts/text_stats.py analyze document.txt python3 {baseDir}/scripts/text_stats.py analyze document.md ``` ### Word count only ```bash python3 {baseDir}/scripts/text_stats.py wc document.txt ``` ### Keyword density ```bash python3 {baseDir}/scripts/text_stats.py keywords document.txt --top 20 ``` ### Reading time ```bash python3 {baseDir}/scripts/text_stats.py time document.txt ``` ## Output Example ``` 📊 Text Analysis: article.md ━━━━━━━━━━━━━━━━━━━━━━━━━━ Words: 2,847 Characters: 16,203 Sentences: 142 Paragraphs: 38 Avg words/sent: 20.0 Reading time: ~11 min (at 250 wpm) Readability: Flesch-Kincaid Grade: 8.2 (8th grade) Flesch Reading Ease: 62.1 (Standard) Gunning Fog Index: 10.4 Top Keywords: AI (47x, 1.65%) agent (31x, 1.09%) data (28x, 0.98%) ``` ## Features - 📏 Word, character, sentence, paragraph counts - ⏱️ Estimated reading time - 📖 Readability scores (Flesch-Kincaid, Gunning Fog, Flesch Reading Ease) - 🔑 Keyword frequency and density - 🇨🇳 CJK character counting (Chinese characters = words) - 🪶 Zero dependencies — Python stdlib only ## Dependencies None! Uses only Python standard library.