Installing SMAL

Dependencies

To install SMAL and start using it, you will first need to make sure that you have the dependencies installed.

SMAL was developed using Python 2.7. In addition, it relies on code from several other libraries:

• Scientific Python libraries:

  • Scipy
  • Numpy
  • Matplotlib

The easiest way to get all of these installed is using the Anaconda or Canopy installers

• Neuroimaging libraries:

  • Nibabel
  • Nipy
  • Nipype
  • Nitime

Follow the instructions on the respective websites for installation instructions.

Installing SMAL from a released version

Once all the dependencies are installed, SMAL can be installed using the pip package manager:

pip install MRS

Installing SMAL from source

If you prefer to install yourself from the source, once you have downloaded and installed these dependencies, you can go ahead and download the source code from our github repository. The most recent cutting edge version of the code can be downloaded in zip or tar formats. A stable release version is availabe to download here

Once the code is downloaded, it can be installed issuing the following command on the shell command-line in the top level directory of the source-code download:

python setup.py install