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        "description": "VisPy: interactive scientific visualization in Python\n-----------------------------------------------------\n\nMain website: http://vispy.org\n\n|Build Status| |Appveyor Status| |Coverage Status| |Zenodo Link|\n\n----\n\nVisPy is a **high-performance interactive 2D/3D data visualization\nlibrary**. VisPy leverages the computational power of modern **Graphics\nProcessing Units (GPUs)** through the **OpenGL** library to display very\nlarge datasets. Applications of VisPy include:\n\n-  High-quality interactive scientific plots with millions of points.\n-  Direct visualization of real-time data.\n-  Fast interactive visualization of 3D models (meshes, volume\n   rendering).\n-  OpenGL visualization demos.\n-  Scientific GUIs with fast, scalable visualization widgets (`Qt <http://www.qt.io>`__ or\n   `IPython notebook <http://ipython.org/notebook.html>`__ with WebGL).\n\n\nAnnouncements\n-------------\n\n- **Release!** Version 0.6.0, July 11, 2019\n- **Release!** Version 0.5.3, March 28, 2018\n- **Release!** Version 0.5.2, December 11, 2017\n- **Release!** Version 0.5.1, November 4, 2017\n- **Release!** Version 0.5, October 24, 2017\n- **Release!** Version 0.4, May 22, 2015\n- `VisPy tutorial in the IPython Cookbook <https://github.com/ipython-books/cookbook-code/blob/master/featured/06_vispy.ipynb>`__\n- **Release!** Version 0.3, August 29, 2014\n- **EuroSciPy 2014**: talk at Saturday 30, and sprint at Sunday 31, August 2014\n- `Article in Linux Magazine, French Edition <https://github.com/vispy/linuxmag-article>`__, July 2014\n- **GSoC 2014**: `two GSoC students are currently working on VisPy under the PSF umbrella <https://github.com/vispy/vispy/wiki/Project.%20GSoC-2014>`__\n- **Release!**, Version 0.2.1 04-11-2013\n- **Presentation at BI forum**, Budapest, 6 November 2013\n- **Presentation at Euroscipy**, Belgium, August 2013\n- **EuroSciPy Sprint**, Belgium, August 2013\n- **Release!** Version 0.1.0 14-08-2013\n\n\nUsing VisPy\n-----------\n\nVisPy is a young library under heavy development at this time. It\ntargets two categories of users:\n\n1. **Users knowing OpenGL**, or willing to learn OpenGL, who want to\n   create beautiful and fast interactive 2D/3D visualizations in Python\n   as easily as possible.\n2. **Scientists without any knowledge of OpenGL**, who are seeking a\n   high-level, high-performance plotting toolkit.\n\nIf you're in the first category, you can already start using VisPy.\nVisPy offers a Pythonic, NumPy-aware, user-friendly interface for OpenGL\nES 2.0 called **gloo**. You can focus on writing your GLSL code instead\nof dealing with the complicated OpenGL API - VisPy takes care of that\nautomatically for you.\n\nIf you're in the second category, we're starting to build experimental\nhigh-level plotting interfaces. Notably, VisPy now ships a very basic\nand experimental OpenGL backend for matplotlib.\n\n\nInstallation\n------------\n\nVisPy runs on Python 2.7+ and Python 3.3+ and depends on NumPy. You also\nneed a backend (PyQt4/PySide, PyQt5/PySide2, glfw, pyglet, SDL, or wx).\n\nPyQt5/PySide2 should be considered more experimental than PyQt4/PySide.\n\nVisPy can be installed either via `pip`:\n\n```\npip install vispy\n```\n\nor within the `Anaconda <https://www.anaconda.com/download/>`_ Python\ndistribution. Anaconda provides a convenient package management system.\nInstalling VisPy can then easily be achieved by adding `conda-forge` to the\nchannels with:\n\n```\nconda config --add channels conda-forge\n```\n\nOnce the `conda-forge` channel has been enabled, `vispy` can be installed with:\n\n```\nconda install vispy\n```\n\nDevelopment Installation\n------------------------\n\nAs VisPy is under heavy development at this time, we highly recommend\ndevelopers to use the development version on Github (master branch). You need\nto clone the repository and install VisPy with\n``python setup.py install``.\n\nAs a one-liner, assuming `git` is installed::\n\n    git clone --recurse-submodules https://github.com/vispy/vispy.git && cd vispy && python setup.py install --user\n\nThis will automatically install the latest version of vispy.\n\nIf you already have vispy cloned, you may need to update the git submodules\nto make sure you have the newest code::\n\n    git pull\n    git submodule update --init --recursive\n\nStructure of VisPy\n------------------\n\nCurrently, the main subpackages are:\n\n-  **app**: integrates an event system and offers a unified interface on\n   top of many window backends (Qt4, wx, glfw, IPython notebook\n   with/without WebGL, and others). Relatively stable API.\n-  **gloo**: a Pythonic, object-oriented interface to OpenGL. Relatively\n   stable API.\n-  **scene**: this is the system underlying our upcoming high level\n   visualization interfaces. Under heavy development and still\n   experimental, it contains several modules.\n\n   -  **Visuals** are graphical abstractions representing 2D shapes, 3D\n      meshes, text, etc.\n   -  **Transforms** implement 2D/3D transformations implemented on both\n      CPU and GPU.\n   -  **Shaders** implements a shader composition system for plumbing\n      together snippets of GLSL code.\n   -  The **scene graph** tracks all objects within a transformation\n      graph.\n-  **plot**: high-level plotting interfaces.\n\nThe API of all public interfaces are subject to change in the future,\nalthough **app** and **gloo** are *relatively* stable at this point.\n\n\nGenesis\n-------\n\nVisPy began when four developers with their own visualization libraries\ndecided to team up:\n`Luke Campagnola <http://luke.campagnola.me/>`__ with `PyQtGraph <http://www.pyqtgraph.org/>`__,\n`Almar Klein <http://www.almarklein.org/>`__ with `Visvis <https://github.com/almarklein/visvis>`__,\n`Cyrille Rossant <http://cyrille.rossant.net>`__ with `Galry <https://github.com/rossant/galry>`__,\n`Nicolas Rougier <http://www.loria.fr/~rougier/index.html>`__ with `Glumpy <https://github.com/rougier/Glumpy>`__.\n\nNow VisPy looks to build on the expertise of these developers and the\nbroader open-source community to build a high-performance OpenGL library.\n\n----\n\nExternal links\n--------------\n\n-  `User mailing\n   list <https://groups.google.com/forum/#!forum/vispy>`__\n-  `Dev mailing\n   list <https://groups.google.com/forum/#!forum/vispy-dev>`__\n-  `Dev chat room <https://gitter.im/vispy/vispy>`__\n-  `Wiki <http://github.com/vispy/vispy/wiki>`__\n-  `Gallery <http://vispy.org/gallery.html>`__\n-  `Documentation <http://vispy.readthedocs.org>`__\n\n.. |Build Status| image:: https://travis-ci.org/vispy/vispy.svg?branch=master\n   :target: https://travis-ci.org/vispy/vispy\n.. |Appveyor Status| image:: https://ci.appveyor.com/api/projects/status/v09sc8ua4ju2ngyy/branch/master?svg=true\n   :target: https://ci.appveyor.com/project/vispy/vispy/branch/master\n.. |Coverage Status| image:: https://img.shields.io/coveralls/vispy/vispy/master.svg\n   :target: https://coveralls.io/r/vispy/vispy?branch=master\n.. |Zenodo Link| image:: https://zenodo.org/badge/5822/vispy/vispy.svg\n   :target: http://dx.doi.org/10.5281/zenodo.17869\n\n\n",
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