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

<img src="https://kivy.org/logos/kivy-logo-black-64.png"

width="128px"></td>

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<td><h4>Kivy Organization</h4></td>

<tr><td>Kivy is a cross-platform, business friendly, GPU accelerated Python

library for rapid development of applications that make use of innovative

user interfaces, such as multi-touch apps.

The Kivy Organization oversees several major projects:

<ul>

<li>The <a href="https://github.com/kivy/kivy">Kivy</a> GUI Library</li>

<li>The <a href="https://github.com/kivy/python-for-android">Python-For-Android</a>

compilation tool.</li>

<li>The <a href="https://github.com/kivy/kivy-ios">Kivy-iOS</a> compilation tool.</li>

<li>The <a href="https://github.com/kivy/pyjnius">PyJNIus</a> library for interfacing with

Java from Python.</li>

<li>The <a href="https://github.com/kivy/pyobjus">PyOBJus</a> library for interfacing with

Objective-C from Python.</li>

<li>The <a href="https://github.com/kivy/plyer">Plyer</a> platform-independent Python

wrapper for platform dependent APIs.</li>

<li><a href="https://github.com/kivy/buildozer">Buildozer</a> - A generic Python packager

for Android, iOS, and desktop.</li>

<li><a href="https://github.com/kivy/kivent">KivEnt</a> - A 2d Game Engine that provides

optimized methods of handling large amounts of dynamic visual data.</li>

<li><a href="https://github.com/kivy/kivy-designer">Kivy Designer</a> - A graphical GUI

designer for Kivy built in Kivy.</li>

</ul>

</td></tr>

<tr><td><a href="http://kivy.org">Website</a> |

<a href="https://kivy.org/docs/contact.html">Contact</a> |

<a href="https://kivy.org/docs/gsoc.html">Ideas Page</a>

</td>

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

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

<img src="http://www.hydra-cg.com/img/logo.png" width="128px"></td>

<!-- Info -->

<td><h4>HYDRA W3C Group</h4></td>

<tr><td>A Python server/middleware to automate Web APIs navigation using intelligent clients. This project aims to:

<li>create a metadata-powered REST API leveraging HYDRA framework,</li>

<li>define a design for future development of client/server interactions using smart clients,</li>

<li>use graphs and machine-learning to solve complex queries using HYDRA framework,</li>

<li>define a middleware (low-level client) to collect requests from external

clients and provide the requested data using reasoning and machine-learning algorithms</li>.

</ul>

<tr><td><a href="http://www.hydra-cg.com/">Website</a> |

<a href="https://www.w3.org/community/hydra/">Contact</a> |

<a href="http://hydra-gsoc.appspot.com/s">Ideas Page</a>

</td>

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

</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>