winkjs/wink-nlp

Health v2 · maintenance only

Adoption not part of the score

1392 stars · 65 forks observed · 2026-10-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

WinkNLP is a developer-friendly JavaScript library for natural language processing with a lean, dependency-free codebase of ~10Kb minified and gzipped. It provides a comprehensive NLP pipeline including tokenization, sentence boundary detection, POS tagging, NER, sentiment analysis, and word embedding support, running on Node.js, browsers, and Deno.

Use cases

• tokenize multilingual text in javascript
• detect sentences in raw text
• extract named entities from documents
• perform sentiment analysis on reviews
• compute semantic similarity with word vectors
• build a chatbot with nlp in node.js
• create word clouds and text visualizations
• pos tag and lemmatize text in the browser

When to choose

• you need a fast, lightweight NLP library for JavaScript with no external dependencies
• you want NLP that runs in Node.js, browsers, or Deno with TypeScript support
• you need production-grade text processing with high test coverage and security compliance
• you want tokenization, NER, sentiment, and embeddings in a single pipeline

When to avoid

• you need deep-learning-based NLP with transformer models or GPU acceleration
• you need languages beyond the models provided (e.g., extensive multilingual pipelines)
• you are working in Python and can use spaCy or similar mature ecosystems

Facets

library · maturity active

nlp parser search-engine data-visualization machine-learning developer-tools web-development browser tokenization sentence-boundary-detection pos-tagging named-entity-recognition sentiment-analysis word-embeddings bm25 typescript-support zero-dependency natural-language-processing nodejs deno javascript

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markdown · JSON · MCP: product_card(name="winkjs/wink-nlp")