Package: gr Version: 0.64.2-1 Architecture: i386 Maintainer: Josef Heinen <j.heinen@fz-juelich.de> Installed-Size: 22927 Depends: libc6 (>= 2.17), libgcc1 (>= 1:7), libgl1-mesa-glx | libgl1, libgs9 (>= 8.61.dfsg.1), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 5.8.0), libqt5network5 (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 5.2), libx11-6, libxt6 Filename: ./i386/gr_0.64.2-1_i386.deb Size: 7961970 MD5sum: e39a87299f2bbee55f92712e1db5ede2 SHA1: 4dc39bf16acd9003bfb82eab4a0883660ad00abe SHA256: f5d47061622193fe68aabefca4ea37e0353292ab68c3f0c27529f55c0129a889 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: 0.64.2-1 Architecture: amd64 Maintainer: Josef Heinen <j.heinen@fz-juelich.de> Installed-Size: 23072 Depends: libc6 (>= 2.17), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libgs9 (>= 8.61.dfsg.1), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 5.8.0), libqt5network5 (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 5.2), libx11-6, libxt6 Filename: ./amd64/gr_0.64.2-1_amd64.deb Size: 7860280 MD5sum: 4889bc6e7fa89b7d8452877dc807a144 SHA1: 8554ed68be4065d20f9a5470184b7b5cd0ce112a SHA256: 7334941a7522b96851d133b90f3405ea563e1ded60f94a9830959bea938c05d9 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: python3-gr Source: python-gr Version: 1.19.0-1 Architecture: i386 Maintainer: Josef Heinen <j.heinen@fz-juelich.de> Installed-Size: 598 Depends: python3-numpy, python3:any (>= 3.4~), gr (>= 0.27.0) Filename: ./i386/python3-gr_1.19.0-1_i386.deb Size: 93722 MD5sum: 75633a91bf5f60ace0970ca7311e05df SHA1: 5358f16228c6a0ec41c2681b743785a84d569469 SHA256: 7cd53edd429e3b17412ec3fd8100e8b0a86f14c78ed94de7e0a1094a46c7126e 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: 1.19.0-1 Architecture: amd64 Maintainer: Josef Heinen <j.heinen@fz-juelich.de> Installed-Size: 598 Depends: python3-numpy, python3:any (>= 3.4~), gr (>= 0.27.0) Filename: ./amd64/python3-gr_1.19.0-1_amd64.deb Size: 93722 MD5sum: fe1f8b6493d7813d1a82cadb8c7d090b SHA1: b13187c209a4efd6b6cd209b6a45e1fa75eabfc0 SHA256: 2d47244202265388d5a2c652a36d270c6c92ba768c84256956a0d339ea738276 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.