textlens vs text-readability vs natural: Which npm Package for Text Analysis?

If you need text analysis in a Node.js project, npm gives you dozens of options. Three packages cover the most common use cases: textlens (readability + sentiment + keywords), text-readability (readability formulas only), and natural (full NLP toolkit). Each takes a different approach, and the right choice depends on what you're building. This is an honest comparison with benchmarks, feature coverage, and bundle sizes. I built textlens, so I'm biased — but I'll point out where the other packages are better choices. Feature Comparison Feature textlens text-readability natural Readability formulas 8 (all major) 7 0 Consensus grade Yes No No Sentiment analysis AFINN-165 No Bayes + AFINN Keyword extraction TF-IDF No TF-IDF Keyword density (n-grams) Unigrams, bigrams, trigrams No N-grams SEO scoring Yes No No Text summarization Extractive No No Reading time Yes No No Tokenization Basic (English) Basic Advanced (multilingual) Stemming No No Porter, Lancaster, etc. Classification No No Naive