Skip to content
GR framework: a graphics library for visualisation applications
Branch: master
Clone or download
jheinen Merge branch 'develop' into 'master'
Fix invalid memory access in convert_segments_to_polylines of gr_tricontour

See merge request Scientific-IT-Systems/gr!216
Latest commit b8e5587 Jul 19, 2019
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.githooks Hide grep output in encoding checks Apr 2, 2019
3rdparty Improved CMake build Apr 24, 2019
apps Removed Makefiles for Visual C Mar 22, 2019
cmake
examples
js Add gr_meta_get_box and get_focus_and_factor Jul 18, 2019
lib Merge branch 'develop' into 'master' Jul 19, 2019
packaging Removed MuPDF Apr 10, 2019
.clang-format
.git-blame-ignore-revs Add an ignore list for `git hyper-blame` Feb 7, 2019
.gitignore Added CMakeLists.txt Apr 17, 2019
.gitlab-ci.yml Change upload host Jul 13, 2019
CMakeLists.txt Set default CMake install path to /usr/local/gr on UNIX Jul 16, 2019
LICENSE.md Removed MuPDF Apr 10, 2019
Makefile Moved GKSTerm clean to gks makefile Apr 8, 2019
README.md
makefile.mingw Added mingw makefile for GR3 Jul 22, 2016

README.md

GR - a universal framework for visualization applications

MIT license GitHub tag PyPI version

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 and significantly improve the performance of existing Matplotlib or PyPlot applications written in Python or Julia, respectively. In this 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 and Jupyter. An interesting example can be found here.

For further information please refer to the GR home page.

You can’t perform that action at this time.