small, safe, and great commonmark (optionally gfm) compliant markdown parser

Developer friendly Natural Language Processing ✨

Tokenize2 is a plugin which allows your users to select multiple items from a predefined list or ajax, using autocompletion as they type to find each item. You may have seen a similar type of text entry when filling in the recipients field sending messages on facebook or tags on tumblr.

snapdragon is an extremely pluggable, powerful and easy-to-use parser-renderer factory.

mdast utility to parse markdown

NLP Functions for amplifying negations, managing elisions, creating ngrams, stems, phonetic codes to tokens and more.

Extract JavaScript code comments from a string or glob of files.

Uses snapdragon to tokenize a single JavaScript block comment into an object, with description, tags, and code example sections that can be passed to any other comment parsers for further parsing.

Adds a location object to snapdragon token or AST node.

Snapdragon utility for creating a stack.

Uses babel to extract JavaScript code comments from a string. Returns an array of comment objects, with line, column, index, comment type and comment string.

Yet another powerful tokenizer in js.

Create a snapdragon token. Used by the snapdragon lexer, but can also be used by plugins.

Splits a JSON string into an annotated list of tokens

Easily scan a string with an object of regex patterns to produce an array of tokens. ~100 sloc.

Tokenize a string into an array of string parts and format identifier objects.

Token(ize) Sort, also support weight sort

Split text into tokens.

A package of basic functions and classes required for the framework to work