Python toolbox for analyzing neuroimaging data. It is based off of Tor Wager's object oriented matlab canlab core tools and relies heavily on nilearn and scikit learn

1. Method 1

   pip install nltools
   

2. Method 2 (Recommended)

   pip install git+https://github.com/ljchang/neurolearn
   

3. Method 3

   git clone https://github.com/ljchang/neurolearn
   python setup.py install
   

nltools requires several dependencies. All are available in pypi. Can use pip install 'package'

• importlib
• nibabel>=2.0.1
• scikit-learn>=0.17
• nilearn>=0.2
• pandas>=0.16
• numpy>=1.9
• seaborn>=0.7.0
• matplotlib
• scipy
• six
• pynv

• mne
• requests

Current Documentation can be found at readthedocs.

Please see our tutorials, which provide numerous examples for how to use the toolbox.

Please see our cosanlab_preproc library for nipype pipelines to perform preprocessing on neuroimaging data.