Algebrite is a Javascript library for symbolic mathematics (technically, CoffeeScript) designed to be comprehensible and easily extensible.

``js
var Algebrite = require('algebrite')

Algebrite.run('x + x') // => "2 x"

Algebrite.factor('10!').toString() // => "2^8 3^4 5^2 7"

Algebrite.eval('integral(x^2)').toString() // => "1/3 x^3"

// composing...
Algebrite.integral(Algebrite.eval('x')).toString() // => "1/2 x^2"
`

Features

Algebrite supports: arbitrary-precision arithmetic, complex quantities, simplification, expansion , substitution, symbolic and numeric roots, units of measurement, matrices, derivatives and gradients, tensors, integrals, multi-integrals, computing integrals and much more!

Examples and manual

Please refer to http://algebrite.org/

All the built-in methods in Algebrite are exposed through a javascript interface. Strings are automatically parsed as expressions, numbers are converted into the appropriate representation, and the internal cons objects are returned.

The cons objects have a toString method which converts it into a pretty-print notation.

How to build

For node use:

1. make sure npm is installed
2. `npm install`
3. `npm run build`

To debug things, better use the debugger from Chrome, so build for the browser like so:

1. make sure npm is installed
2. make sure browserify is installed
3. `npm install`
4. `npm run build-for-browser`
5. open `index.html`

How to test

For full tests:

`
npm test
`

For the subset of tests in run-micro-tests.coffee:

`
npm run microtest
``

Contribute

please take a look at the contributing file.

References

Algebrite starts as an adaptation of the EigenMath CAS by George Weigt. Also you might want to check another fork of EigenMath: SMIB by Philippe Billet.

Another CAS of similar nature is SymPy made in Python.

Three other Javascript CAS are

* javascript-cas by Anthony Foster supporting "differentiation, complex numbers, sums, vectors (dot products, cross products, gradient/curl etc)"
* Coffeequate by Matthew Alger supporting "quadratic and linear equations, simplification of most algebraic expressions, uncertainties propagation, substitutions, variables, constants, and symbolic constants".
* Algebra.js by Nicole White which among other things can build and solve equations via a "chainable" API.