Tools related to analyzing eye tracking data from cogntive sciences experiments
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README.rst

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pyeparse

This package is designed for interactive as well as scripting-oriented processing of eye tracking data

Notes

Before you get started, a few things to point out:

  • This package has alpha status and is only tested for the author's use cases. Contributions are welcome but at the moment we can't provide strong support.
  • We tested the codes for different datasets and EyeLink devices. Still the parsing support will be limited to the cases we encountered. Reports and feedback are welcome.
  • The philosophy behind this package and the code itself strongly draw from MNE-Python, a package for MEG/EEG data processing hosted by the authors:

https://github.com/mne-tools/mne-python

Get more information

This page only contains bare-bones instructions for installing pyeparse.

Get the latest code

To get the latest code using git, simply type:

git clone git@github.com:dengemann/pyeparse.git

If you don't have git installed, you can download a zip or tarball of the latest code:

git@github.com:dengemann/pyeparse.git

Install pyeparse

As any Python packages, to install PyLink, go in the source code directory and do:

python setup.py install

or if you don't have admin access to your python setup (permission denied when install) use:

python setup.py install --user

Dependencies

The required dependencies to build the software are Python >= 2.6, NumPy >= 1.4, Scipy >= 0.11, and h5py. Pandas is an optional dependency that speeds up file reading. You must also have the Eyelink SDK installed in order to read EDF files.

Licensing

pyeparse is BSD-licenced (3 clause):

This software is OSI Certified Open Source Software. OSI Certified is a certification mark of the Open Source Initiative.

Copyright (c) 2012-2013, authors of pyeparse All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  • Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
  • Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
  • Neither the names of pyeparse authors nor the names of any contributors may be used to endorse or promote products derived from this software without specific prior written permission.

This software is provided by the copyright holders and contributors "as is" and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright owner or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.