NLTools

NLTools is a Python package for analyzing neuroimaging data. It is the analysis engine powering neuro-learn. There are tools to perform data manipulation and analyses such as univariate GLMs, predictive multivariate modeling, and representational similarity analyses. It is based loosely off of Tor Wager’s object-oriented Matlab toolbox and leverages much code from nilearn and scikit-learn.

You can install it using uv or pip:

uv add nltools

pip install nltools

Watch a video in which Dr. Eshin Jolly, PhD outlines some of the design principles behind nltools at SciPy 2020:

Learn how to use nltools with the basic tutorials on the this site or check out the following full-courses below:

• DartBrains is an introductory neuroimaging analysis course that uses nltools.

• Naturalistic-Data is a course covering advanced methods for analyzing naturalistic data. Many of the tutorials use functions from nltools. # Installation