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        "author": "Kwik Team",
        "author_email": "cyrille.rossant at gmail.com",
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            "Framework :: IPython",
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            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Programming Language :: Python :: 2",
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        "description": "# phy project\n\n[![Build Status](https://img.shields.io/travis/kwikteam/phy.svg)](https://travis-ci.org/kwikteam/phy)\n[![codecov.io](https://img.shields.io/codecov/c/github/kwikteam/phy.svg)](http://codecov.io/github/kwikteam/phy?branch=master)\n[![Documentation Status](https://readthedocs.org/projects/phy/badge/?version=latest)](https://readthedocs.org/projects/phy/?badge=latest)\n[![PyPI release](https://img.shields.io/pypi/v/phy.svg)](https://pypi.python.org/pypi/phy)\n[![GitHub release](https://img.shields.io/github/release/kwikteam/phy.svg)](https://github.com/kwikteam/phy/releases/latest)\n[![Join the chat at https://gitter.im/kwikteam/phy](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/kwikteam/phy?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)\n\n[**phy**](https://github.com/kwikteam/phy) is an open source neurophysiological data analysis package in Python. It provides features for sorting, analyzing, and visualizing extracellular recordings made with high-density multielectrode arrays containing hundreds to thousands of recording sites.\n\n\n## Overview\n\n**phy** contains the following subpackages:\n\n* **phy.cluster.manual**: an API for manual sorting, used to create graphical interfaces for neurophysiological data\n* **phy.gui**: a generic API for creating desktop applications with PyQt.\n* **phy.plot**: a generic API for creating high-performance plots with VisPy (using the graphics processor via OpenGL)\n\nphy targets developers and doesn't provide any I/O code. It only provides Python routines to process and visualize data.\n\n\n## phy-contrib\n\nThe [phy-contrib](https://github.com/kwikteam/phy-contrib) repo contains a set of plugins with integrated GUIs that work with dedicated automatic clustering software. Currently it provides:\n\n* **KwikGUI**: a manual sorting GUI that works with data processed with [**klusta**](http://klusta.readthedocs.org/en/latest/), an automatic clustering package.\n* **TemplateGUI**: a manual sorting GUI that works with data processed with **Spyking Circus** and **KiloSort** (not released yet), which are template-matching-based spike sorting algorithms.\n\n\n## Installation\n\n**Note**: the installation instructions will be simplified soon.\n\n1. Make sure that you have [**miniconda**](http://conda.pydata.org/miniconda.html) installed. You can choose the Python 3.5 64-bit version for your operating system (Linux, Windows, or OS X).\n2. **Download the [environment file](https://raw.githubusercontent.com/kwikteam/phy/master/installer/environment.yml).**\n3. **Open a terminal** (on Windows, `cmd`, not Powershell) in the directory where you saved the file and type:\n\n    ```bash\n    conda env create -n phy\n    source activate phy  # omit the `source` on Windows\n    pip install phy phycontrib\n    ```\n4. **Done**! Now, to use phy, you have to first type `source activate phy` in a terminal (omit the `source` on Windows), and then call `phy`.\n\n\n### Updating the software\n\nTo get the latest version of the software, open a terminal and type:\n\n```\nsource activate phy  # omit the `source` on Windows\npip install phy phycontrib --upgrade\n```\n\n\n## Links\n\n* [User documentation of the Template GUI](http://phy-contrib.readthedocs.io/en/latest/template-gui/)\n* [Developer documentation](http://phy.readthedocs.org/en/latest/) (work in progress)\n* [Mailing list](https://groups.google.com/forum/#!forum/phy-users)\n* [Sample data repository](http://phy.cortexlab.net/data/) (work in progress)\n\n\n## Credits\n\n**phy** is developed by [Cyrille Rossant](http://cyrille.rossant.net), [Shabnam Kadir](https://iris.ucl.ac.uk/iris/browse/profile?upi=SKADI56), [Dan Goodman](http://thesamovar.net/), [Max Hunter](https://iris.ucl.ac.uk/iris/browse/profile?upi=MLDHU99), and [Kenneth Harris](https://iris.ucl.ac.uk/iris/browse/profile?upi=KDHAR02), in the [Cortexlab](https://www.ucl.ac.uk/cortexlab), University College London.",
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