# vispy **Repository Path**: wang_zhang_fei/vispy ## Basic Information - **Project Name**: vispy - **Description**: No description available - **Primary Language**: Unknown - **License**: BSD-3-Clause - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-06-28 - **Last Updated**: 2024-07-02 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README VisPy: interactive scientific visualization in Python ----------------------------------------------------- Main website: http://vispy.org |Build Status| |Appveyor Status| |Coverage Status| |Zenodo Link| ---- VisPy is a **high-performance interactive 2D/3D data visualization library**. VisPy leverages the computational power of modern **Graphics Processing Units (GPUs)** through the **OpenGL** library to display very large datasets. Applications of VisPy include: - High-quality interactive scientific plots with millions of points. - Direct visualization of real-time data. - Fast interactive visualization of 3D models (meshes, volume rendering). - OpenGL visualization demos. - Scientific GUIs with fast, scalable visualization widgets (`Qt `__ or `IPython notebook `__ with WebGL). Announcements ------------- - **Release!** Version 0.6.4, December 13, 2019 - **Release!** Version 0.6.3, November 27, 2019 - **Release!** Version 0.6.2, November 4, 2019 - **Release!** Version 0.6.1, July 28, 2019 - **Release!** Version 0.6.0, July 11, 2019 - **Release!** Version 0.5.3, March 28, 2018 - **Release!** Version 0.5.2, December 11, 2017 - **Release!** Version 0.5.1, November 4, 2017 - **Release!** Version 0.5, October 24, 2017 - **Release!** Version 0.4, May 22, 2015 - `VisPy tutorial in the IPython Cookbook `__ - **Release!** Version 0.3, August 29, 2014 - **EuroSciPy 2014**: talk at Saturday 30, and sprint at Sunday 31, August 2014 - `Article in Linux Magazine, French Edition `__, July 2014 - **GSoC 2014**: `two GSoC students are currently working on VisPy under the PSF umbrella `__ - **Release!**, Version 0.2.1 04-11-2013 - **Presentation at BI forum**, Budapest, 6 November 2013 - **Presentation at Euroscipy**, Belgium, August 2013 - **EuroSciPy Sprint**, Belgium, August 2013 - **Release!** Version 0.1.0 14-08-2013 Using VisPy ----------- VisPy is a young library under heavy development at this time. It targets two categories of users: 1. **Users knowing OpenGL**, or willing to learn OpenGL, who want to create beautiful and fast interactive 2D/3D visualizations in Python as easily as possible. 2. **Scientists without any knowledge of OpenGL**, who are seeking a high-level, high-performance plotting toolkit. If you're in the first category, you can already start using VisPy. VisPy offers a Pythonic, NumPy-aware, user-friendly interface for OpenGL ES 2.0 called **gloo**. You can focus on writing your GLSL code instead of dealing with the complicated OpenGL API - VisPy takes care of that automatically for you. If you're in the second category, we're starting to build experimental high-level plotting interfaces. Notably, VisPy now ships a very basic and experimental OpenGL backend for matplotlib. Installation ------------ Please follow the detailed `installation instructions `_ on the VisPy website. Structure of VisPy ------------------ Currently, the main subpackages are: - **app**: integrates an event system and offers a unified interface on top of many window backends (Qt4, wx, glfw, IPython notebook with/without WebGL, and others). Relatively stable API. - **gloo**: a Pythonic, object-oriented interface to OpenGL. Relatively stable API. - **scene**: this is the system underlying our upcoming high level visualization interfaces. Under heavy development and still experimental, it contains several modules. - **Visuals** are graphical abstractions representing 2D shapes, 3D meshes, text, etc. - **Transforms** implement 2D/3D transformations implemented on both CPU and GPU. - **Shaders** implements a shader composition system for plumbing together snippets of GLSL code. - The **scene graph** tracks all objects within a transformation graph. - **plot**: high-level plotting interfaces. The API of all public interfaces are subject to change in the future, although **app** and **gloo** are *relatively* stable at this point. Genesis ------- VisPy began when four developers with their own visualization libraries decided to team up: `Luke Campagnola `__ with `PyQtGraph `__, `Almar Klein `__ with `Visvis `__, `Cyrille Rossant `__ with `Galry `__, `Nicolas Rougier `__ with `Glumpy `__. Now VisPy looks to build on the expertise of these developers and the broader open-source community to build a high-performance OpenGL library. ---- External links -------------- - `User mailing list `__ - `Dev mailing list `__ - `Dev chat room `__ - `Wiki `__ - `Gallery `__ - `Documentation `__ .. |Build Status| image:: https://travis-ci.org/vispy/vispy.svg?branch=master :target: https://travis-ci.org/vispy/vispy .. |Appveyor Status| image:: https://ci.appveyor.com/api/projects/status/v09sc8ua4ju2ngyy/branch/master?svg=true :target: https://ci.appveyor.com/project/vispy/vispy/branch/master .. |Coverage Status| image:: https://img.shields.io/coveralls/vispy/vispy/master.svg :target: https://coveralls.io/r/vispy/vispy?branch=master .. |Zenodo Link| image:: https://zenodo.org/badge/5822/vispy/vispy.svg :target: http://dx.doi.org/10.5281/zenodo.17869