.. _simnibs_installer: Install SimNIBS =============== A SimNIBS installation takes about 3 GB disk space. .. note:: In case you have problems during the installation, please check :ref:`install_throubleshooting` Windows ------- 1. `Download the SimNIBS installer `_ 2. Double click the :file:`simnibs_installer_windows.exe` file. If a security warning shows up, click on *More info -> Run anyway* 3. Click through the installer wizard 4. Installation might take 5-10 minutes, depending on your computer and internet connection. Please be patient. Testing the installation ''''''''''''''''''''''''' Look for a shortcut called :code:`SimNIBS GUI` in your Start Menu Linux ----- 1. `Download the SimNIBS installer `_ 2. Run in a terminal .. code-block:: bash cd ~/Downloads tar -xzf simnibs_installer_linux.tar.gz simnibs_installer/install \ 3. Installation might take 5-10 minutes, depending on your computer and internet connection. Please be patient. .. note:: The installer also has a silent mode (no GUI), type :code:`simnibs_installer/install -h` for more information Testing the Installation ''''''''''''''''''''''''' Start a new terminal window and type :code:`simnibs_gui` .. note:: The SimNIBS GUI fails on some linux distributions, in particular those with Wayland. Workaround: ld preloading of libstdc++.so.6 seems to help. Example: export LD_PRELOAD=/usr/lib/libstdc++.so.6 (path needs to be adjusted according to library path on local system) MacOS ------ 1. `Download the SimNIBS installer `_ 2. Double click the :file:`simnibs_installer_macos.pkg` file. 3. Click through the installer wizard. 4. Installation might take 5-10 minutes, depending on your computer and internet connection. Please be patient. .. note:: SimNIBS only supports MacOS versions ≥ 10.13 (High Sierra) Testing the Installation ''''''''''''''''''''''''' Open Launchpad and search for :code:`SimNIBS GUI` Software Dependencies ----------------------- SimNIBS does not require any external dependencies for creating head models, running simulations and post-processing operations. The preparation of conductivity tensors for GM and WM from diffusion MRI data using :ref:`dwi2cond_docs` requires FSL. Please see :ref:`optional_deps` for more information.