https://github.com/cosanlab/nltools

Python toolbox for analyzing imaging data
https://github.com/cosanlab/nltools

fmri machine-learning multivariate neuroimaging-data python python-toolbox toolbox

Last synced: 27 days ago
JSON representation

Python toolbox for analyzing imaging data

• Host: GitHub
• URL: https://github.com/cosanlab/nltools
• Owner: cosanlab
• License: mit
• Created: 2015-01-04T21:14:36.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2025-07-18T07:49:31.000Z (7 months ago)
• Last Synced: 2025-10-28T11:11:18.668Z (4 months ago)
• Topics: fmri, machine-learning, multivariate, neuroimaging-data, python, python-toolbox, toolbox
• Language: Python
• Homepage: https://nltools.org
• Size: 125 MB
• Stars: 126
• Watchers: 8
• Forks: 45
• Open Issues: 79
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# NLTools

Python toolbox for analyzing neuroimaging data. It is particularly useful for conducting multivariate analyses. It is originally based on Tor Wager's object oriented matlab [canlab core tools](http://wagerlab.colorado.edu/tools) and relies heavily on [nilearn](http://nilearn.github.io) and [scikit learn](http://scikit-learn.org/stable/index.html). Nltools is only compatible with Python 3.7+.

## Documentation

Documentation and tutorials are available at https://nltools.org

## Installation

1. Method 1 (stable)

   ```

   pip install nltools

   ```

2. Method 2 (bleeding edge)

   ```

   pip install git+https://github.com/cosanlab/nltools

   ```

3. Method 3 (for development)

   ```

   git clone https://github.com/cosanlab/nltools

   pip install -e nltools

   ```

## Preprocessing

Nltools has minimal routines for pre-processing data. For more complete pre-processing pipelines please see our [cosanlab_preproc](https://github.com/cosanlab/cosanlab_preproc) library built with `nipype`.