Galry by rossant

Galry is a high performance interactive visualization package in Python based on OpenGL. It allows to interactively visualize very large plots (tens of millions of points) in real time, by using the graphics card as much as possible.

Galry's high-level interface is directly inspired by Matplotlib and Matlab. The low-level interface can be used to write complex interactive visualization GUIs with Qt that deal with large 2D/3D datasets.

Visualization capabilities of Galry are not restricted to plotting, and include textures, 3D meshes, graphs, shapes, etc. Custom shaders can also be written for advanced uses.

Click here to go to the FAQ.

Note

The library will be entirely rewritten in the coming months in the context of the vispy collaborative project. The goal is to share common building blocks with other visualization libraries (visvis, pyqtgraph, glumpy...). The low-level API will change and we suggest not to use it in production for now.

Installation

Requirements

Galry should work on any platform (Window/Linux/MacOS).
Mandatory dependencies include:
- Python 2.7
- Numpy
- PyQt4 or PySide with the OpenGL bindings
- PyOpenGL
- matplotlib
Your graphics card drivers must be up-to-date and support OpenGL 2.1.

Galry is licensed under the BSD license.

Installation procedure

Download the package.
Extract it.
Run in a console:
```
python setup.py install
```

Test it:

from galry import *
from numpy.random import randn
plot(randn(3, 10000))
show()

You should see three overlayed random signals. You can navigate with the mouse and the keyboard. Press H to see all available actions.

More details.

Development version (expert users)

Clone the repository:

git clone https://github.com/rossant/galry.git

Install Galry with pip so that external packages are automatically updated (like qtools which contains some Qt-related utility functions):
```
pip install -r requirements.txt
```

User survey

We'd be very grateful if you could fill in this really short form if you're interested in Galry!

Gallery

Multiple plots Multiple bar plots $Dynamic fractal$

Click here to see all screenshots and videos.