Discover a new workflow

Step 1: Represent your problem symbolically

Using Python or Rust, define your problem using a mix of symbols, numbers, matrices, graphs or arbitrarily complicated mathematical expressions (that can exceed your memory)! Here we represent the same data in three different ways:

Graph

Matrix

\[ \pmatrix{ 0 & x & 3 & y \\ x & 0 & 2 & 1\\ 3 & 2 & 0 & z\\ y & 1 & z & 0 } \]

Math

\[ \begin{align} e(0,1,x)e(0,1,3)e(0,3,y)\\ e(1,2,2)e(1,3,1)e(2,3,z) \end{align} \]

Our experts can help you with your problem representation.

Step 2: Perform symbolic manipulations

Simplify and rewrite your problem using pattern matching-and-replacements, fast mathematical operations such as series expansions or polynomial arithmetic

Example of pattern matching

Example of taking a derivative

Example of expansion and factorization

Example of matrix arithmetic

Step 3: Fast numerical evaluations

Optionally, numerically evaluate your code using our blazing fast assembly numerical code generator and built-in numerical integration

Make the switch

Are you waiting for computations to finish?

With Symbolica you will spare significant time and computational costs. Symbolica uses state-of-the art algorithms and has an API designed to steer you towards a high-performance solution.

Greatest common divisor benchmark (see also )
Symbolica	4s
Mathematica	89s
Sympy	1h1m

Are you daisy-chaining tools?

No longer do you have to create error-prone text communication between different algebra tools and your program. Symbolica easily integrates in your project.

Are you losing time training staff?

Getting comfortable with a new computer algebra ecosystem can take significant time and impacts productivity of new staff. Symbolica is an intuitive Python and Rust library, that removes the need to learn a new language.