SLM Lab quick installation

slm-lab-installation.md

See https://kengz.gitbooks.io/slm-lab/content/installation/installation.html for full instruction.

1. Clone SLM-Lab

git clone https://github.com/kengz/SLM-Lab.git
cd SLM-Lab

2. Install node, yarn, electron and orca for the environment and analysis module

brew install node yarn
yarn install

And if you don't already have it, install Conda for clean dependency management

curl -O https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
bash Miniconda3-latest-MacOSX-x86_64.sh -b
rm Miniconda3-latest-MacOSX-x86_64.sh
echo '. ~/miniconda3/etc/profile.d/conda.sh' >> ~/.bash_profile
source ~/.bash_profile

3. Install SLM Lab as pip module

conda create -n lab python=3.6 ipykernel -y
conda activate lab
conda env update -f environment.yml

Now it is ready for usage.

Hi @pappataci thanks! You have a few options, however they have not been tested. There's also a chance that some of the dependencies do not support Windows. Nevertheless, you can try any of the following options:

1. use Conda for Windows: https://docs.conda.io/projects/conda/en/latest/user-guide/install/windows.html and the dependencies should resolve themselves correctly for Windows
2. use a Linux subsystem for Windows https://docs.microsoft.com/en-us/windows/wsl/install-win10
3. use pip by manually installing all the dependencies listed in the environments.yml

Let me know how it goes, and other readers on Windows may benefit too.

btw, this doc snippet is a bit out of date. I would recommend checking the latest doc at https://slm-lab.gitbook.io/slm-lab/setup/installation

Hi @kengz. Thanks a lot for your kind reply; I will give a go to method 3 and see what happens.

Has anyone had any luck installing this on windows?