Metadata-Version: 2.0
Name: gr
Version: 0.14.1
Summary: Python visualization framework
Home-page: http://gr-framework.org
Author: Scientific IT Systems
Author-email: j.heinen@fz-juelich.de
License: GNU General Public License
Platform: UNKNOWN
Requires: numpy

GR - a universal framework for visualization applications
=========================================================

*GR* is a universal framework for cross-platform visualization
applications. It offers developers a compact, portable and consistent
graphics library for their programs. Applications range from publication
quality 2D graphs to the representation of complex 3D scenes.

*GR* is essentially based on an implementation of a Graphical Kernel
System (GKS) and OpenGL. As a self-contained system it can quickly and
easily be integrated into existing applications (i.e. using the
``ctypes`` mechanism in Python or ``ccall`` in Julia).

The *GR* framework can be used in imperative programming systems or
integrated into modern object-oriented systems, in particular those
based on GUI toolkits. *GR* is characterized by its high
interoperability and can be used with modern web technologies. The *GR*
framework is especially suitable for real-time or signal processing
environments.

*GR* was developed by the Scientific IT-Systems group at the Peter
Grünberg Institute at Forschunsgzentrum Jülich. The main development has
been done by Josef Heinen who currently maintains the software, but
there are other developers who currently make valuable contributions.
Special thanks to Florian Rhiem (*GR3*] and Christian Felder (qtgr,
setup.py).

Starting with release 0.6 *GR* can be used as a backend for
`Matplotlib <http://matplotlib.org>`__ and significantly improve the
performance of existing Matplotlib or PyPlot applications written in
Python or Julia, respectively. In
`this <http://gr-framework.org/tutorials/matplotlib.html>`__ tutorial
section you can find some examples.

Beginning with version 0.10.0 *GR* supports inline graphics which shows
up in IPython's Qt Console or interactive computing environments for
*Python* and *Julia*, such as `IPython <http://ipython.org>`__ and
`Jupyter <https://jupyter.org>`__. An interesting example can be found
`here <http://pgi-jcns.fz-juelich.de/pub/doc/700K_460.html>`__.

For further information please refer to the
`GR home page <http://gr-framework.org>`__.


