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