SymEngine is a standalone fast C++ symbolic manipulation library. Optional thin wrappers allow usage of the library from other languages, e.g.:
- C wrappers allow usage from C, or as a basis for other wrappers (the symengine/cwrapper.h file)
- Python wrappers allow easy usage from Python and integration with SymPy and Sage (the symengine.py repository)
- Ruby wrappers (the symengine.rb repository)
- Julia wrappers (the SymEngine.jl repository)
- Haskell wrappers (the symengine.hs repository)
All files are licensed under MIT license, see the LICENSE for more information. Third party code packaged are licensed under BSD 3-clause license (see the LICENSE file).
SymEngine mailinglist: http://groups.google.com/group/symengine
Ubuntu package manager
add-apt-repository ppa:symengine/ppa apt-get update apt-get install libsymengine-dev
Conda package manager
conda install symengine -c symengine -c conda-forge
Homebrew pacakge manager
brew install homebrew/science/symengine
Building from source
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
cmake . make make install
This will configure and build SymEngine in the default Release mode with all code and compiler optimizations on and then install it on your system.
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 SymEngine on Linux
is to use the Debug mode with
BFD support on:
cmake -DCMAKE_BUILD_TYPE=Debug -DWITH_BFD=yes .
BFD support turns on nice Python like stacktraces on exceptions, assert
errors or segfaults, and the Debug mode automatically turns on
WITH_SYMENGINE_RCP=no (which uses
Teuchos::RCP with full Debug time
WITH_SYMENGINE_ASSERT=yes, so the code cannot segfault in Debug
mode, as long as our style conventions (e.g. no raw pointers) are followed,
which is easy to check by visual inspection of a given Pull Request. In Release
mode, which is the default, the code is as performing as manual reference
counting and raw pointers (and if there is a bug, it could segfault, in which
case all you have to do is to turn Debug mode on and get a nice exception with
WITH_BFD=yes work, you need to install
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
On OpenSuSE you will additionally need
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)s -DWITH_SYMENGINE_ASSERT:BOOL=OFF \ # Test all SYMENGINE_ASSERT statements in the code -DWITH_SYMENGINE_RCP:BOOL=ON \ # Use our faster special implementation of RCP -DWITH_SYMENGINE_THREAD_SAFE:BOOL=OFF \ # Build with thread safety -DWITH_ECM:BOOL=OFF \ # Build with GMP-ECM library for integer factorization -DWITH_PRIMESIEVE:BOOL=OFF \ # Install with Primesieve library -DWITH_FLINT:BOOL=OFF \ # Install with Flint library -DWITH_ARB:BOOL=OFF \ # Install with ARB library -DWITH_TCMALLOC:BOOL=OFF \ # Install with TCMalloc linked -DWITH_OPENMP:BOOL=OFF \ # Install with OpenMP enabled -DWITH_PIRANHA:BOOL=OFF \ # Install with Piranha library -DWITH_MPFR:BOOL=OFF \ # Install with MPFR library -DWITH_MPC:BOOL=OFF \ # Install with MPC library -DWITH_LLVM:BOOL=OFF \ # Build with LLVM libraries -DBUILD_TESTS:BOOL=ON \ # Build with tests -DBUILD_BENCHMARKS:BOOL=ON \ # Build with benchmarks -DBUILD_BENCHMARKS_NONIUS:BOOL=OFF \ # Build with Nonius benchmarks -DINTEGER_CLASS:STRING=gmp \ # Choose storage type for Integer. one of gmp, gmpxx, flint, piranha, boostmp -DBUILD_SHARED_LIBS:BOOL=OFF \ # Build a shared library. -DCMAKE_INSTALL_RPATH_USE_LINK_PATH:BOOL=OFF\ # Add dependencies to rpath when a shared lib is built .
OPENMP is enabled, then
SYMENGINE_THREAD_SAFE is also enabled automatically
irrespective of the user input for
CMake prints the value of its options at the end of the run.
If you want to use a different compiler, do:
CC=clang CXX=clang++ cmake .
and check that CMake picked it up.
INTEGER_CLASS=boostmp would remove the dependency on gmp and use boost's
multiprecision integer and rational classes. This would make boost, the only
dependency and all the code would be under permissive licenses, namely, MIT,
BSD 3-clause and Boost License.
The Nonius based benchmarks (
BUILD_BENCHMARKS_NONIUS) and Piranha
WITH_PIRANHA) depend on Boost, so they are off by default. The bechmarked
code (both with and without Nonius) seems to depend on the order of which you
execute the benchmarks in a given executable, due to internal malloc
implementation. We have found that this order dependence is reduced by enabling
WITH_TCMALLOC=ON and since it also speeds the benchmarks up, we recommend
to always use TCMalloc when benchmarking (and the
Release mode of SymEngine,
which is the default).
CMAKE_PREFIX_PATH to specify the prefixes of the external libraries.
If the headers and libs are not in
If CMake still cannot find the library, you can specify the path to the library by
cmake -DPKG_LIBRARY=/path/libname.so ., where
PKG should be replaced
with the name of the external library (
-DPKG_INCLUDE_DIR can be used for headers.
Please follow the C++ Style Guide when developing.
The design decisions are documented in Design.