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https://github.com/almarklein/visvis

Visvis - the object oriented approach to visualization
https://github.com/almarklein/visvis

2d 3d medical-imaging opengl python visualization

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Visvis - the object oriented approach to visualization

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# Visvis - the object oriented approach to visualization



[Visvis](http://github.com/almarklein/visvis) is a pure Python library

for visualization of 1D to 4D data in an object oriented way.

Essentially, visvis is an object oriented layer of Python on top of

OpenGl, thereby combining the power of OpenGl with the usability of

Python. A Matlab/Matplotlib-like interface in the form of a set of functions allows

easy creation of objects (e.g. `plot()`, `imshow()`, `volshow()`, `surf()`).



## Installation



Visvis is cross-platform and runs on Python 2.x and Python 3.x. It

depends on numpy, pyopengl.



Installation is best done via pip (``pip install visvis``) or conda (``conda install visvis``).



You also need a GUI backend, either of these will do:

* GLFW -> recommended, runs on asyncio, install using `pip install glfw`

* Qt: PySide6, Pyside2, Pyside, PyQt5, or PyQt4

* Wx

* GTK

* FLTK



## How visvis works



With visvis a range of different data can be visualized by simply adding

[world objects](https://github.com/almarklein/visvis/wiki/cls_Wobject) to

a scene (i.e. an

[axes](https://github.com/almarklein/visvis/wiki/cls_Axes)). These world

objects can be

anything from plots

([lines](https://github.com/almarklein/visvis/wiki/example_plotting) with

markers), to

[images](https://github.com/almarklein/visvis/wiki/example_images), 3D

rendered

[volumes](https://github.com/almarklein/visvis/wiki/example_volumes), shaded

[meshes](https://github.com/almarklein/visvis/wiki/example_meshes), or you

can program your own world object class.

If required, these data can also be

[moved](https://github.com/almarklein/visvis/wiki/example_fourDimensions)

in time.



## Example

[![](https://raw.githubusercontent.com/wiki/almarklein/visvis/images/overviewScreen.png)](https://github.com/almarklein/visvis/wiki/example_overview)



Click on the figure to see the [code](https://github.com/almarklein/visvis/wiki/example_overview) and how one can interact with the figure.



## Documentation



The docs are on the [wiki](https://github.com/almarklein/visvis/wiki).

Online documentation is available for all

[classes](https://github.com/almarklein/visvis/wiki/classes) and

[functions](https://github.com/almarklein/visvis/wiki/functions). Any

questions can be asked in the visvis [discussion

group](http://groups.google.com/group/visvis).



At EuroScipy 2012, I gave a talk about Visvis. The long version of the

presentation can be seen [here](https://docs.google.com/presentation/pub?id=17J5IVIoh2zQk49ycYh__CYpi33aWi0oSljI_MnYByeg&start=false&loop=false&delayms=3000).



## Status



Visvis has been relatively stable for several years. I am still maintaining it, but do not plan on making any major changes. Visvis will not make use of modern OpenGL, and will not work in the browser. It's API might be a bit idosyncratic (e.g. methods are UpperCamelCase) because I started working on Visvis before I knew about PEP8.



See [Vispy](https://github.com/vispy/vispy/) for a similar (but more modern) visualization library.



I am now working on [PyGfx](https://github.com/pygfx/pygfx), which is better in almost every way. A bit lower level though, but people are starting to build higher level API's on top of it ...



## License



Visvis makes use of the liberal BSD license. See license.txt for details.