spork: When you need more than a spoon
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The emerging field of topological signal processing brings methods from Topological Data Analysis (TDA) to create new tools for signal processing by incorporating aspects of shape.
This python package, spork, is a companion package to teaspoon.
All code is open source with up to date documentation, making the code easy to use, in particular for signal processing experts with limited experience in topological methods.

.. image:: figures/rail_network_animation.gif
  :width: 600 px


Table of Contents
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.. toctree::
   :maxdepth: 4
   :numbered:

   Getting Started <installation.rst>
   Modules <modules.rst>
   License <license.rst>



Collaborators
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The code is a compilation of work done by `Elizabeth Munch <http://www.elizabethmunch.com>`_ and `Firas Khasawneh <http://www.firaskhasawneh.com/>`__ along with their students and collaborators.  People who have contributed to spork include:

- `Audun Myers <https://www.audunmyers.com>`_
- `Melih Yesilli <https://www.melihcanyesilli.com>`_
- `Sarah Tymochko <https://www.sarahtymochko.com/home>`_
- `Danielle Barnes <mailto:barnesd8@msu.edu>`_
- `Ismail Guzel`
- `Max Chumley <https://www.maxchumley.com>`_




Contact Information
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- `Liz Munch <http://www.elizabethmunch.com>`_: `muncheli@msu.edu <mailto:muncheli@msu.edu>`_
- `Firas Khasawneh <https://www.firaskhasawneh.com>`__: `khasawn3@egr.msu.edu <mailto:khasawn3@egr.msu.edu>`_