Download and install

This page covers the necessary steps to install Nipype.

Using docker

You can follow the Nipype tutorial

or use this docker container: docker pull nipype/nipype

or if you want to build custom docker containers with specific versions of software see Neurodocker

Using conda

Installing nipype from the conda-forge channel can be achieved by:

conda install --channel conda-forge nipype

It is possible to list all of the versions of nipype available on your platform with:

conda search nipype --channel conda-forge

For more information, please see

Using Pypi

The installation process is similar to other Python packages.

If you already have a Python environment set up, you can do:

pip install nipype

If you want to install all the optional features of nipype, use the following command:

pip install nipype[all]

While all installs everything, one can also install select components as listed below:

'doc': ['Sphinx>=1.4', 'matplotlib', 'pydotplus'],
'tests': ['pytest-cov', 'codecov'],
'nipy': ['nitime', 'nilearn', 'dipy', 'nipy', 'matplotlib'],
'profiler': ['psutil'],
'duecredit': ['duecredit'],
'xvfbwrapper': ['xvfbwrapper'],

Debian and Ubuntu

Add the NeuroDebian repository and install the python-nipype package using apt-get or your favorite package manager.

Mac OS X

The easiest way to get nipype running on Mac OS X is to install Miniconda and follow the instructions above. If you have a non-conda environment you can install nipype by typing:

pip install nipype

Note that the above procedure may require availability of gcc on your system path to compile the traits package.

From source

The most recent release is found here:

The development version: [zip tar.gz]

For previous versions: prior downloads

If you downloaded the source distribution named something like nipype-x.y.tar.gz, then unpack the tarball, change into the nipype-x.y directory and install nipype using:

pip install .

Note: Depending on permissions you may need to use sudo.

Testing the install

The best way to test the install is checking nipype’s version and then running the tests:

python -c "import nipype; print(nipype.__version__)"
python -c "import nipype; nipype.test()"

Interface Dependencies

Nipype provides wrappers around many neuroimaging tools and contains some algorithms. These tools will need to be installed for Nipype to run. You can create containers with different versions of these tools installed using Neurodocker

Installation for developers

Developers should start here.

Developers can also use this docker container: docker pull nipype/nipype:master