mathup

1.0.0-rc.1 • Public • Published

mathup

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Installation

npm
npm install mathup
import mathup from "mathup";
Client

Download or link one or more of the released assets and include the module:

<script type="module" src="mathup.js"></script>

…the custom element:

<script type="module" src="math-up-element.js"></script>

…or the script:

<script src="mathup.iife.js"></script>

Usage

const expression = "1+1 = 2";
const options = {}; // optional
const mathml = mathup(expression, options);

mathml.toString();
// => "<math><mrow><mn>1</mn><mo>+</mo><mn>1</mn></mrow><mo>=</mo><mn>2</mn></math>"

const mathNode = mathml.toDOM();
// => [object MathMLElement]

// Update existing <math> node in place
mathup("3-2 = 1", { bare: true }).updateDOM(mathNode);
Custom Element
<math-up display="inline" dir="ltr" decimal-mark="," col-sep=";" row-sep=";;">
  1+1 = 2
</math-up>
Command Line
npm install -g mathup

mathup [options] -- <expression>

# or from stdin
echo <expression> | mathup [options]

Options (with defaults)

const options = {
  decimalMark: ".",   // -m,  --decimalmark="."
  colSep: ",",        // -c,  --colsep=","
  rowSep: ";",        // -r,  --rowsep=";"
  display: "inline",  // -d,  --display
  dir: "ltr",         //      --rtl
  bare: false,        // -b,  --bare
}

Reference

See here

Easy MathML authoring tool with a quick to write syntax

This package exposes a single function mathup that intuitively takes simple mathematical expressions—written in a markup language inspired by AsciiMath—and outputs structured MathML.

You can use it on the command line or on the server as an npm package, or in the browser by including the script source. In the browser, you choose how to parse the math in your document—by looking hard for any math-y substrings, parsing all expressions wrapped in $$, or using some other excellent tools out there that does it for you. And you can choose what to do with the output as well—piping it to another program, inject it streight to the DOM, or just logging it to the console.

Why not just use MathJax?

MathJax is an excellent tool that you can safely use if all you want to do is include complex mathematical expressions in a document. However, MathJax is a complex piece of software that does a great deal more than just translate simple expression into structured form, and if that is all you want to do, then MathJax is definitely overkill. Mathup promises to be a lot faster (by doing less) then MathJax. While MathJax will search for expressions, parse them, translate and render them. Mathup only parses and translates them, and let the browser do the rendering.

Why AsciiMath / Why not TeΧ?

I wrote this tool, because I wanted to be able to author mathematical expressions quickly, with no overhead (imagine 1/2 instead of \frac{1}{2}). TeΧ expressions can easily become verbose and annoying to write (especially on keyboards with complex access to the \ , {, and } keys). However, the purpose of this package is not to give people complete control over MathML in a non-verbose way, the purpose is to make it simple for people to write simple expression. Of course I’ll try to give as much expressive power as possible in the way, but I won’t promise to make all complex things possible.

If you want full support of MathML, and don’t want to write all those tags perhaps you should look for another tool. There are other great efforts to enable people to author MathML in TeX format, take a look at TeXZilla for example.

Testing

Run the test suites with:

npm test

As for manual and visual tests, if you are running node 13 or newer, you don’t need to compile between edit and run as the code is written without transpilation in mind. The code works in both browsers and node without any transcompilation.

For a simple test do:

./bin/mathup.js -- 'my expression'

You can open a playground and test cases on http://localhost:8000/demo by running:

npm run server

Dependencies (0)

    Dev Dependencies (21)

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    Install

    npm i mathup

    Weekly Downloads

    12

    Version

    1.0.0-rc.1

    License

    MIT

    Unpacked Size

    1.5 MB

    Total Files

    74

    Last publish

    Collaborators

    • runarberg