Package: gr Version: 0.73.13-1 Architecture: arm64 Maintainer: Josef Heinen Installed-Size: 68426 Depends: libc6 (>= 2.30), libgcc-s1 (>= 4.2), libgl1, libgs9 (>= 8.61.dfsg.1), libqt5core5a (>= 5.15.1), libqt5gui5 (>= 5.11.0~rc1) | libqt5gui5-gles (>= 5.11.0~rc1), libqt5network5 (>= 5.0.2), libqt5widgets5 (>= 5.14.1), libstdc++6 (>= 9), libx11-6, libxt6 Filename: arm64/gr_0.73.13-1_arm64.deb Size: 18560340 MD5sum: c689a022d2da3897478509acdfbef8ca SHA1: 9db95100a0eec6bc399c7af35a43d72a606060ea SHA256: 4a402980b94a14ac6c1d318608b2ba43bd6a4d06edab30d8dc631baa6347a2aa Section: science Priority: optional Description: 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. 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. Package: gr Version: 0.73.13-1 Architecture: amd64 Maintainer: Josef Heinen Installed-Size: 70518 Depends: libc6 (>= 2.30), libgcc-s1 (>= 3.4), libgl1, libgs9 (>= 8.61.dfsg.1), libqt5core5a (>= 5.15.1), libqt5gui5 (>= 5.11.0~rc1) | libqt5gui5-gles (>= 5.11.0~rc1), libqt5network5 (>= 5.0.2), libqt5widgets5 (>= 5.14.1), libstdc++6 (>= 9), libx11-6, libxt6 Filename: amd64/gr_0.73.13-1_amd64.deb Size: 19557988 MD5sum: 030e0678a1c0190211e61b9e75887006 SHA1: 9e485b65d444d1b04b3b58183d072c06f37c25ad SHA256: 15969b4a2883948c79267c7eba6fc348f325a007ed77cbf32c364a31e13ccf86 Section: science Priority: optional Description: 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. 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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: python3-gr Source: python-gr Version: 1.26.0-1 Architecture: arm64 Maintainer: Josef Heinen Installed-Size: 619 Depends: python3-numpy, python3:any (>= 3.4~), gr (>= 0.27.0) Filename: arm64/python3-gr_1.26.0-1_arm64.deb Size: 96568 MD5sum: 58a0d8b3b27a4f8e42ef6e2170b482db SHA1: 9146bc7cd4d1189c147fe722bd4de813c67c5ae8 SHA256: a1f0ea974d5aee1ad09cde7e0dd98bedeb61dbb6a84463cd6ad7d5648b5a35e9 Section: python Priority: optional Description: Python 3 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. 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. Package: python3-gr Source: python-gr Version: 1.26.0-1 Architecture: amd64 Maintainer: Josef Heinen Installed-Size: 619 Depends: python3-numpy, python3:any (>= 3.4~), gr (>= 0.27.0) Filename: amd64/python3-gr_1.26.0-1_amd64.deb Size: 96568 MD5sum: a1e4b3787c5e0590efcd0af04a55eaeb SHA1: 85c51d4a7d2b1ba3a178fbcb8e985c315600893e SHA256: 5f2e54f36c817d3f0e4f4b692ab9d2cc66829cbc109ce1717837a81c66de7feb Section: python Priority: optional Description: Python 3 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. 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.