nilearn

Statistical learning for neuroimaging in Python

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Project links

Project description

nilearn

Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data.

It leverages the scikit-learn Python toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis.

This work is made available by a community of people, amongst which the INRIA Parietal Project Team and the scikit-learn folks, in particular P. Gervais, A. Abraham, V. Michel, A. Gramfort, G. Varoquaux, F. Pedregosa, B. Thirion, M. Eickenberg, C. F. Gorgolewski, D. Bzdok, L. Estève and B. Cipollini.

Important links

Official source code repo: https://github.com/nilearn/nilearn/
HTML documentation (stable release): http://nilearn.github.io/

Dependencies

The required dependencies to use the software are:

Python >= 2.6,
setuptools
Numpy >= 1.6.1
SciPy >= 0.9
Scikit-learn >= 0.12.1
Nibabel >= 1.1.0

If you are using nilearn plotting functionalities or running the examples, matplotlib >= 1.1.1 is required.

If you want to run the tests, you need nose >= 1.2.1 and coverage >= 3.6.

Install

First make sure you have installed all the dependencies listed above. Then you can install nilearn by running the following command in a command prompt:

pip install -U --user nilearn

More detailed instructions are available at http://nilearn.github.io/introduction.html#installation.

Development

Code

GIT

You can check the latest sources with the command:

git clone git://github.com/nilearn/nilearn

or if you have write privileges:

git clone git@github.com:nilearn/nilearn

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

0.10.4

Apr 9, 2024

0.10.3

Jan 29, 2024

0.10.2

Sep 29, 2023

0.10.1

Apr 28, 2023

0.10.1rc1 pre-release

Feb 28, 2023

0.10.0

Jan 6, 2023

0.9.2

Aug 24, 2022

0.9.1

Apr 13, 2022

0.9.0

Jan 28, 2022

0.8.1

Sep 16, 2021

0.8.0

Jun 16, 2021

0.7.1

Mar 10, 2021

0.7.0

Nov 12, 2020

0.6.2

Feb 25, 2020

0.6.1

Jan 22, 2020

0.6.0

Dec 9, 2019

0.6.0b0 pre-release

Nov 11, 2019

0.6.0a0 pre-release

Oct 21, 2019

0.5.2

Apr 17, 2019

0.5.1

Apr 12, 2019

0.5.0

Nov 16, 2018

0.5.0b0 pre-release

Oct 17, 2018

0.5.0a0 pre-release

Aug 4, 2018

0.4.2

Jun 14, 2018

0.4.1

Mar 12, 2018

0.4.0

Nov 19, 2017

0.3.1

Jun 20, 2017

0.3.0

Apr 18, 2017

0.3.0b1 pre-release

Feb 23, 2017

0.2.6

Sep 18, 2016

0.2.5.1

Aug 8, 2016

0.2.5

Jun 13, 2016

0.2.4

Apr 7, 2016

0.2.3

Feb 19, 2016

0.2.2

Feb 5, 2016

0.2.1

Dec 13, 2015

0.2.0

Dec 13, 2015

This version

0.1.4.post1

Jul 13, 2015

0.1.4

Jul 13, 2015

0.1.3

May 12, 2015

0.1.2

Mar 1, 2015

0.1.1

Feb 26, 2015

0.1

Feb 6, 2015

0.1b1 pre-release

Jan 6, 2015

0.1a1 pre-release

Dec 10, 2014

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