Package: gr Version: 0.73.10-1 Architecture: amd64 Maintainer: Josef Heinen Installed-Size: 70026 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_0.73.10-1_amd64.deb Size: 19472084 MD5sum: d88509a12800a2b01f5d935fb6066fb3 SHA1: 5ab7765168eb7a9e5344325690f9a3a6473dd8ed SHA256: 40764ba6964d2462b9b48ead787f407f77e458936bba6915a1bb161a03a5f740 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. 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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: 1.25.0-1 Architecture: arm64 Maintainer: Josef Heinen Installed-Size: 618 Depends: python3-numpy, python3:any (>= 3.4~), gr (>= 0.27.0) Filename: arm64/python3-gr_1.25.0-1_arm64.deb Size: 96480 MD5sum: 889008105f37c179bf43b5a35cef3666 SHA1: b3cab4700a324961c1bb1a82ea39cd5d7c69f1a3 SHA256: fc1f30c7bf5e7c766c4247efc7042a62bf451b7a76a6435e2657012dea65432f 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. 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Package: python3-gr Source: python-gr Version: 1.25.0-1 Architecture: amd64 Maintainer: Josef Heinen Installed-Size: 618 Depends: python3-numpy, python3:any (>= 3.4~), gr (>= 0.27.0) Filename: amd64/python3-gr_1.25.0-1_amd64.deb Size: 96524 MD5sum: f60e019eb79ea60515fb24c6da532c97 SHA1: 811ccbf8e7d884332e89f47231383aff2bf8be97 SHA256: 1c702a474c118514ac9a8d2b2cf2c86e3cb2c69b346eb95270e3ddd0b5d32b70 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.