Ashlar can be installed in most Python environments using
pip install ashlar
Create a named conda environment with python 3.7:
conda create -y -n ashlar python=3.7
Activate the conda environment:
conda activate ashlar
In the activated environment, install dependencies and ashlar itself:
conda install -y -c conda-forge numpy scipy matplotlib networkx scikit-image=0.16.2 scikit-learn pyjnius pip install ashlar
The docker image of ashlar is on DockerHub and should be suitable for many use cases.
Return to the quick start guide to learn more about how to use ASHLAR.