Local installation (e.g. on your own computer)#
The code is currently (2025) under active development and is distributed as source only. A minimum knowledge of Linux, Python and Jupyter is required.
Minimal installation procedure for an Unix-like OS#
The following procedure is given for an Unix-like OS (Linux, MacOS, and Windows Subsystem for Linux - WSL).
Windows users: you can install Linux on your Windows machine by simply installing the Windows Subsystem for Linux - WSL.
Create a Conda python environment and activate it. You can use miniforge. Please, refer to the documentation how to install it. In a Linux-like shell (e.g Mac or Windows Substyem for Linux), this is as simple as:
#go to your local install directory
cd; mkdir local
cd local
wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-x86_64.sh
bash ./Miniforge3-Linux-x86_64.sh -b -p miniforge -u
source miniforge/bin/activate
mamba create -n famewoks python=3.12
source conda/bin/activate famewoks
Install Larch
conda install -yc conda-forge xraylarch
Install Git
mamba -y install git
Install JupyterLab
pip install jupyterlab
Install
famewoks
pip install git+https://gitlab.esrf.fr/F-CRG/fames/famewoks.git
This installs the main branch of the code, which is the latest
production/stable branch that you have probably used on the beamline. If you
want to install a specific branch:
pip install -U git+https://gitlab.esrf.fr/F-CRG/fames/famewoks.git@the_name_of_the_branch
Run JupyterLab: open a shell, activate the
famewoksconda environment and start Jupyterlab
#go to the directory where the notebook is
conda activate famewoks #refer to conda documentation if you have problems with this
jupyter lab
Alteranative procedure for Windows users who do not want to use WSL#
A simple workaround procedure for Windows without using WSL:
Activate the Larch environment in a terminal (like you would do for executing Larch from the terminal)
Install
famewoksthere
pip install git+https://gitlab.esrf.fr/F-CRG/fames/famewoks.git
Open a JupyterLab session
jupyter lab