A Symbolic Package for Octave using SymPy
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Symbolic Package for GNU Octave

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An implementation of a symbolic toolbox using SymPy.



Feature parity with the other symbolic toolboxes.

Screenshot 1

Screenshot 2

How to Install

  1. The dependencies are Octave, Python, and SymPy. Consult the SymPy website for details on how to install SymPy.

  2. Start Octave.

  3. At Octave prompt type pkg install -forge symbolic.

  4. At Octave prompt, type pkg load symbolic.

  5. At Octave prompt, type syms x, then f = (sin(x/2))^3, diff(f, x), etc.

How to install on Ubuntu

  1. Install the dependencies with sudo apt-get install octave liboctave-dev python-sympy.
  2. Follow steps 2--5 above.

How to Install on Windows

  1. Get Octave for Windows.

  2. Download the symbolic-win-py-bundle-2.7.0.zip file from releases.

  3. Start Octave

  4. At the Octave prompt, type pkg install symbolic-win-py-bundle-2.7.0.zip.

  5. At the Octave prompt, type pkg load symbolic.

  6. At the Octave prompt, type syms x, then f = (sin(x/2))^3, diff(f, x), etc.

The symbolic-win-py-bundle package should have no dependencies other than Octave (it includes SymPy and a Python interpreter). Alternatively, you can install Python and SymPy yourself and use the standard pkg install -forge symbolic command.

If you encounter any difficulties (even minor ones) please read and if possible help us improve the wiki page on Windows Installation.

How to Install on Matlab

Although this package is designed for GNU Octave, it will work with Matlab. Currently only the slower system()-based communication is available.

  1. Download the latest release, e.g., octsympy-matlab-2.7.0.tar.gz.

  2. Unzip it somewhere and add it to your Matlab Path.

The .m files for Matlab have been reformatted for Matlab comment conventions, but are otherwise the same as the Octave source.

How to Help

We have a list of things to work on tagged help wanted. Some of these should be quite easy to fix and would be a great way to get involved. Come join us!

How to hack on the code:

  1. Clone the repo with git (preferred, but you can use the "Download ZIP" instead if you want).

  2. Run Octave in the octsympy/inst/ directory. It should be safe to do this even if you have the released version of the package installed (but not loaded).


Python code is generated to do the actual work. Each sym object keeps a text field for display purposes and a string (a SymPy srepr). The objects are communicated between Python and Octave by passing the srepr string back-and-forth. Currently pure m-file (and Python) implementation, no code to be compiled.

Related Projects

  • There was a previous "symbolic" package in Octave Forge based on GiNaC. Its history has now been merged into this project.

  • "SymPy CAS" by Jonathan Lister. Calls SymPy commands using system().