natural VS Propel

Compare natural vs Propel and see what are their differences.

natural

general natural language facilities for node (by NaturalNode)
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natural Propel
4 -
10,477 2,772
0.4% -
8.2 0.0
8 days ago -
JavaScript TypeScript
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

natural

Posts with mentions or reviews of natural. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-21.

Propel

Posts with mentions or reviews of Propel. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Propel yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing natural and Propel you can also consider the following projects:

nlp.js - An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

Brain.js - Simple feed-forward neural network in JavaScript

deeplearn.js

franc - Natural language detection

Mind.js - A neural network library built in JavaScript

retext - natural language processor powered by plugins part of the @unifiedjs collective

Synaptic.js - architecture-free neural network library for node.js and the browser

Tesseract.js - Pure Javascript OCR for more than 100 Languages 📖🎉🖥

Dannjs - Easy to use Deep Neural Network Library for JavaScript.

leven - Measure the difference between two strings with the fastest JS implementation of the Levenshtein distance algorithm

Synapses - A group of neural-network libraries for functional and mainstream languages