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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. 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Package: python-gr Version: 1.3.2 Architecture: amd64 Maintainer: Josef Heinen Installed-Size: 365 Depends: python (<< 2.8), python (>= 2.7), python-numpy, python:any (>= 2.6.6-7~), gr (>= 0.27.0) Filename: ./amd64/python-gr_1.3.2_amd64.deb Size: 59538 MD5sum: 725619a1a07eda0636741fad655155c5 SHA1: 1a60b241b3b06a08d1a5e766988c73552ed5d4f2 SHA256: 474cd1b9a10a7dc463c193ad3d0b4c7cbf7cdf27ba15c047552a243f10877d62 Section: python Priority: optional Description: Python visualization framework 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. 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