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# Download and install

This page covers the necessary steps to install Nipype.

## Download

Release 0.9.2: [zip tar.gz]

Development: [zip tar.gz]

Prior downloads

To check out the latest development version:

    git clone git://github.com/nipy/nipype.git

## Install

The installation process is similar to other Python packages.

If you already have a Python environment setup that has the dependencies listed below, you can do:

    easy_install nipype

or:

    pip install nipype

### 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 Anaconda or Canopy and then add nibabel and nipype by executing:

    easy_install nibabel
    easy_install nipype

### From source

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:

    python setup.py install

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

## Testing the install

The best way to test the install is to run the test suite. If you have nose installed, then do the following:

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

you can also test with nosetests:

    nosetests --with-doctest /software/nipy-repo/masternipype/nipype
    --exclude=external --exclude=testing

All tests should pass (unless you’re missing a dependency). If SUBJECTS_DIR variable is not set some FreeSurfer related tests will fail. If any tests fail, please report them on our bug tracker.

On Debian systems, set the following environment variable before running tests:

    export MATLABCMD=$pathtomatlabdir/bin/$platform/MATLAB

where, $pathtomatlabdir is the path to your matlab installation and $platform is the directory referring to x86 or x64 installations (typically glnxa64 on 64-bit installations).

### Avoiding any MATLAB calls from testing

On unix systems, set an empty environment variable:

    export NIPYPE_NO_MATLAB=

This will skip any tests that require matlab.

## Dependencies

Below is a list of required dependencies, along with additional software recommendations.

### Must Have

Python 2.6 - 2.7

Nibabel 1.0 - 1.4
  Neuroimaging file i/o library
NetworkX 1.0 - 1.8
  Python package for working with complex networks.

NumPy 1.3 - 1.7

SciPy 0.7 - 0.12
  Numpy and Scipy are high-level, optimized scientific computing libraries.

Enthought Traits 4.0.0 - 4.3.0

Dateutil 1.5 -

Note

Full distributions such as Anaconda or Canopy provide the above packages, except Nibabel.

### Strong Recommendations

IPython 0.10.2 - 1.0.0
  Interactive python environment. This is necessary for some parallel components of the pipeline engine.
Matplotlib 1.0 - 1.2
  Plotting library

RDFLib 4.1 RDFLibrary required for provenance export as RDF

Sphinx 1.1
  Required for building the documentation
Graphviz
  Required for building the documentation

### Interface Dependencies

These are the software packages that nipype.interfaces wraps:

FSL
  4.1.0 or later
matlab
  2008a or later
SPM
  SPM5/8
FreeSurfer
  FreeSurfer version 4 and higher
AFNI
  2009_12_31_1431 or later
Slicer
  3.6 or later
Nipy
  0.1.2+20110404 or later
Nitime
  (optional)

Camino

Camino2Trackvis

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