Table of Contents

Getting started on a mac

A minimal set of data processing tools could include

Those are themselves built against a suite of libraries and could be hard to get working.

Step 1: Anaconda

From the Anaconda website,

Conda is an open-source package and environment management system that runs on Windows, macOS, and Linux. Conda quickly installs, runs, and updates packages and their dependencies. It also easily creates, saves, loads, and switches between environments on your local computer. It was created for Python programs, but it can package and distribute software for any language.

In fact, Anaconda is the easiest route to get multigrain data processing working on a mac. You first step is hence to install Anaconda on your mac.

Once Anaconda is installed,

The following packages should be installed from anaconda to avoid compatibility issues

Then there are two packages with ended up conflicting when trying to install using conda. Resorting to pip instead:

Step 2: Fable-3XRD packages with pip or automated install

Python packages can be installed from source, downloading the source code from the original website, or through pip. Source download will always get you the latest version, with the latest developments. Installation with pip is much easier, but may not be the most up-to-date.

If you are super comfortable with python, anaconda, and such, jump to the next section and install everything from the source files at github. If not, stay here and do part of the work with pip.

Some of the Fable-3XRD packages are easy to install

GrainSpotter, also, is available automatically on Anaconda if you are using linux (GrainSpotter is a C program, hence the difference procedure)

Those few lines will install the packages, but also thousands of various libraries that they depend on.

Step 3: Fable-3XRD packages from source

Other packages are required but need to be installed from the Fable-3DXRD source at github:

For both, procedure is identical

GrainSpotter is a C program which, on a mac, is not readily available in anaconda

It should work out of the box.

By now, you should be done and have a minimal working installation on your mac.