<!-- Logo -->

<td rowspan="4" class="logo">

<img src="http://www.statsmodels.org/devel/_static/statsmodels_hybi_banner.png"

width="300px"></td>

<!-- Info -->

<td><h4>Statsmodels</h4></td>

<tr><td>Statsmodels is a general purpose Python package for data analysis, statistics and econometrics </td></tr>

<tr><td><a href="http://www.statsmodels.org/devel/">Website</a> |

<a href="http://groups.google.com/group/pystatsmodels">Contact</a> |

<a href="https://github.com/statsmodels/statsmodels/wiki/Google-Summer-of-Code-2017">Ideas Page</a>

</td>

<tr><td colspan="2" class="good">Status: Ideas page in progress</td></tr>

<!-- Logo -->

<td rowspan="4" class="logo">

<img src="http://91.68.209.10/bmi/martinos.org/mne/stable/_static/mne_logo.png"

width="256px"></td>

<!-- Info -->

<td><h4>MNE-Python</h4></td>

<tr><td>MNE is a free and open source software designed for processing electroencephalography (EEG) and magnetoencephalography (MEG) data. EEG and MEG data analysis requires advanced numerics, signal processing, statistics and dedicated visualization tools. MNE-Python is a pure Python package built on top of numpy, scipy, matplotlib and scikit-learn.

</td></tr>

<tr>

<td>

<a href="http://martinos.org/mne/">Website</a> |

<a href="http://github.com/mne-tools/mne-python">Contact</a> |

<a href="https://github.com/mne-tools/mne-python/wiki/GSOC-Ideas">Ideas Page</a>

</td>

<tr><td colspan="2" class="good">Status: Ideas page in progress</td></tr>