Installation

We distribute dashQC_fmri as a python package that includes both the python modules used to re-organize your pipeline output data into the format required by the dashboard and the javascript libraries and html templates that are used to render these data interactively,

You can obtain dashQC_fmri either from our github repository, which has the most recent development version and is generally a good place to report and discuss problems and extensions. Alternatively, dashQC_fmri can also be installed via the Python Package Index.

Dependencies

dashQC_fmri depends on the following python packages

• numpy
• pandas
• nibabel
• pillow
• matplotlib
• nilearn
• scipy
• scikit-learn

If you install dashQC_fmri in your python environment using the methods described below, we will take care of these dependencies for you.

If you want to run the python modules of dashQC_fmri directly without installation, please make sure that you install these dependencies manually.

Install from source

To install directly from our development version, run the following command:

git clone git@github.com:SIMEXP/dashQC_fmri.git
cd dashQC_fmri

Then you can install dashQC_fmri using:

pip install .

If you do not have sudo permission on your system, you can also run:

python setup.py install --user

To install dashQC_fmri in user space.

Install from PyPI

dashQC_fmri will be available soon from the Python Package Index.

Running dashQC_fmri without installation

The python modules of``dashQC_fmri`` can be run directly from the command line without installation. Please make sure to first install the Dependencies.