Algebrite

Computer Algebra System in Javascript (Typescript)

davidedc/Algebritealgebrite.orgalgebrite

README

algebrite header
npm version

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


  1. ``` js
  2. var Algebrite = require('algebrite')

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

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

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

  10. // composing...
  11. Algebrite.integral(Algebrite.eval('x')).toString() // => "1/2 x^2"
  12. ```

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 a build to run tests:

1. make sure npm is installed, then:
2. npm install
3. bazelisk build algebrite

( bazelisk is the launcher for the bazel build system). The bazel build system tends to be smart and cache things. You can do a thorough clean by:

bazelisk clean; rm -rf ./dist/*

The so called "npm build" does a build for npm and browser:

1. make sure npm is installed, then:
2. npm install (if you didn't run this already)
3. bazelisk build npm
4. open index.html

How to test


For full tests:

bazelisk test :all

or, if caches get in the way:

bazelisk test :all --cache_test_results=no


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.