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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+.\n\n## Documentation\n\nDocumentation and tutorials are available at https://nltools.org\n\n## Installation\n\n1. Method 1 (stable)\n\n   ```\n   pip install nltools\n   ```\n\n2. Method 2 (bleeding edge)\n\n   ```\n   pip install git+https://github.com/cosanlab/nltools\n   ```\n\n3. Method 3 (for development)\n\n   ```\n   git clone https://github.com/cosanlab/nltools\n   pip install -e nltools\n   ```\n\n## Preprocessing\n\nNltools 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`.\n","funding_links":[],"categories":["Python"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcosanlab%2Fnltools","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcosanlab%2Fnltools","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcosanlab%2Fnltools/lists"}