Fast symbolic manipulation library, written in C++
C++ Python Mathematica Makefile Shell Objective-C C
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CSymPy is a standalone fast C++ symbolic manipulation library. Optional thin Python wrappers allow easy usage from Python and integration with SymPy.


All files are licensed under MIT license, see the LICENSE for more information. The src/teuchos directory is licensed under the Trilinos BSD license (see the LICENSE file).

Mailinglist, Chat

We use the SymPy mailinglist:

![Gitter]( Chat.svg)


Install prerequisites. For Debian based systems (Ubuntu etc.):

apt-get install cmake libgmp-dev

For RPM based systems (Fedora etc.):

yum install cmake gmp-devel

Install csympy:

cmake .

This will configure and build CSymPy in the default Release mode with all code and compiler optimizations on.

Run tests:


Python Wrappers

The optional Python wrappers can be turned on by

cmake -DWITH_PYTHON=yes .

Use CSymPy from Python as follows:

>>> from csympy import var
>>> var("x y z")
(x, y, z)
>>> e = (x+y+z)**2
>>> e.expand()
2x*z + x^2 + 2y*x + 2y*z + z^2 + y^2

You can read Python tests in csympy/tests to see what features are implemented. Supported versions of Python are: 2.6, 2.7, 3.2, 3.3. You need Cython >= 0.19.1 in order to compile the wrappers. CMake will report at configure time if the Cython version is too old.


The Travis-CI checks the code in both Release and Debug mode with all possible checks, so just sending a GitHub pull request is enough and you can use any mode you want to develop it. However, the best way to develop CSymPy is to use the Debug mode, turn assertions on and turn BFD support on (prints very nice stacktraces on exceptions, segfaults or assert errors):


To make WITH_BFD=yes work, you need to install binutils-dev first, otherwise you will get a CMake error during configuring. For Debian based systems (Ubuntu etc.)

apt-get install binutils-dev

For RPM based systems (Fedora etc.)

yum install binutils-devel

CMake Options

Here are all the CMake options that you can use to configure the build, with their default values indicated below:

cmake -DCMAKE_INSTALL_PREFIX:PATH="/usr/local" \  # Installation prefix
    -DCMAKE_BUILD_TYPE:STRING="Release" \         # Type of build, one of: Debug or Release
    -DWITH_BFD:BOOL=OFF \                         # Install with BFD library (requires binutils-dev)
    -DWITH_PYTHON:BOOL=OFF \                      # Build Python wrappers
    -DWITH_CSYMPY_ASSERT:BOOL=OFF \               # Test all CSYMPY_ASSERT statements in the code
    -DWITH_CSYMPY_RCP:BOOL=ON \                   # Use our faster special implementation of RCP
    -DWITH_PRIMESIEVE=OFF \                       # Install with Primesieve library
    -DWITH_ARB=OFF \                              # Install with ARB library

CMake prints the value of its options at the end of the run. If you want to use a different compiler, do:

CXX=clang cmake .

and check that CMake picked it up.

External Libraries

There are three ways how to specify where external libraries are. In the lines below, change PKG1, PKG2, ... to the names of the external libraries (GMP, ARB, PRIMESIEVE, BFD, FLINT, MPFR, ...).


In the approach 1., you specify PKG_DIR as the base prefix, and the include files must be in ${PKG_DIR}/include and libraries in ${PKG_DIR}/lib (or lib64). In the approach 2., you specify the include and library directories separately (you can use approach 1. for some libraries and 2. for other libraries on the same command line). In the approach 3., you specify a common prefix for all libraries at once.

If all your libraries are installed in the same prefix, use 3. If they are installed in separate locations, use 1. or 2.: if the given library has a common prefix for includes and libs, use 1., otherwise use 2.

Developer Documentation

Please follow the C++ Style Guide when developing.

The design decisions are documented in Design.