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.
We'd be very grateful if you could fill in this really short form if you're interested in Galry!
Click here to see all screenshots and videos.
Galry should work on any platform (Window/Linux/MacOS). Mandatory dependencies include Python 2.7, Numpy, either PyQt4 or PySide, PyOpenGL, matplotlib. OpenGL v2+ is required (it's probably a good idea to use the latest graphics card drivers).
Galry is licensed under the BSD license.
Here are the packages:
To install Galry:
- Make sure you've installed all dependencies.
- Download one of the packages above.
- Extract the package and do
python setup.py install.
-
Clone the repository:
git clone https://github.com/rossant/galry.git -
Install Galry with
pipso that external packages are automatically updated (likeqtoolswhich contains some Qt-related utility functions):pip install -r requirements.txt
To test that the installation went fine, open a Python or IPython prompt and type:
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.