A complete list of requirements

TRIQS is built upon several tools, C++ libraries and Python packages, which, if not present already in your system, can be freely downloaded and installed. All the dependencies of TRIQS are listed below with a brief description.

C++ compilers

TRIQS is written in modern C++, i.e. using the latest C++ standard as defined by the ISO standardization committee. It is our philsophy to follow the C++ language evolution closely in order to keep the TRIQS code-base as simple and maintainable as possible. For this reason we have decided to limit the compilation of TRIQS to the rapidly evolving gcc and LLVM based compilers, including clang and IntelLLVM. We support the following compiler versions:

• g++ 12.x and higher

• clang 15.0 and higher

• IntelLLVM (icx) 2023.1.0 and higher

Tools and Libraries

Tool/Library	Version	Comment
cmake	>= 3.20	CMake is used to control the software compilation process
python	>= 3.6	The Python interpreter
mpi	openmpi	Parallelism
hdf5	>= 1.8.2	File storage system
fftw	>= 3.2	Fourier transforms
boost	>= 1.70	C++ library collection. We only depend on the boost headers
GMP	>= ?	GNU Multiple Precision Arithmetic Library
numpy	>= 1.11.0	Python Package - Array library
OpenMP	>= 4	Parallelism
scipy	>= ?	Python Package - Scientific computing library
matplotlib	>= 0.99	Python Package - Plotting library
mpi4py	>= ?	Python Package - MPI bindings
mako	>= 0.9.1	Python Package - Template library

Building the TRIQS documentation

If you want to build the documentation of the TRIQS library locally on your machine, additional dependencies are required.

Library/tool	Version	Comment
sphinx	>= 1.0.1	Python Package - Documentation tools
numpydoc	>= ?	Sphinx extension to support docstrings in Numpy format
libclang	15.0	C interface to clang
clang	15.0	Python Package - Libclang bindings