natural
A Node.js library of natural language processing tools like tokenizing, stemming, and classification.
- Stars
- 10.9k
- Forks
- 851
- Licence
- MIT
- Language
- JavaScript
- Last update
- 11 days ago
- Type
- Library
What it is
Natural is a JavaScript library for working with human language inside Node.js programs. It provides a range of text-processing functions, such as breaking text into parts and reducing words to root forms. Developers add it to their projects to analyze or handle text without building those pieces from scratch.
- Split a sentence into word tokens before counting or filtering them
- Reduce words to their stems to group related forms together
- Use WordNet-based lookups for word meanings and relationships
- Build a simple text classifier inside a Node.js script
Great for
- JavaScript or TypeScript developers who need basic text processing on a Node.js server
- Students learning how natural language processing techniques work in code
- Developers prototyping text analysis features before choosing a heavier tool
Not ideal for
- People who need state-of-the-art large language model results, since the README describes classic NLP facilities rather than modern AI models
- Browser-only projects, because the README frames it as a Node.js library
- Non-programmers, since it is used through code and has no described graphical interface
How to get it
- 1
Install with a package manager
You'll need: Node.js
Install from npm
npm install natural - 2
Run it
- Install the package with npm in your Node.js project
- Require or import natural in a script
- Call one of its tokenizing or stemming functions on a sample sentence
- Check the documentation on GitHub Pages for the function you need
- 3
Get the most out of it
- Read the documentation at naturalnode.github.io/natural for the full list of modules
- Review the WordNet license if you plan to use its data in a product
- Combine tokenizers and stemmers in a pipeline for simple text analysis
Downloads
Strengths
- Covers a broad range of common natural language processing functions in one package
- Published under the permissive MIT license
- Actively maintained, with a recent push and a published npm package
Trade-offs
- The README is truncated and gives little detail on specific APIs, so a closer look at the documentation is needed
- Relies on classic techniques rather than modern machine learning models
- Some bundled components, such as WordNet data, carry their own licenses that users should review
How it compares
| Project | Stars | Type | Level | Updated | Best for |
|---|---|---|---|---|---|
| natural (this) | 10.9k | Library | intermediate | 11 days ago | JavaScript or TypeScript developers who need basic text processing on a Node.js server |
| compromise | 12.2k | Library | beginner | 7 days ago | JavaScript developers who need simple English text analysis inside a web or Node app |
| spaCy | 34k | Library | intermediate | 10 days ago | Python developers building text-processing features into an application |
Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.