Package: gr Version: 0.62.0-1 Architecture: i386 Maintainer: Josef Heinen Installed-Size: 22140 Depends: libc6 (>= 2.17), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libgs9 (>= 8.61.dfsg.1), libqt5core5a (>= 5.0.2), libqt5gui5 (>= 5.0.2) | libqt5gui5-gles (>= 5.0.2), libqt5network5 (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 5.2), libx11-6, libxt6 Filename: ./i386/gr_0.62.0-1_i386.deb Size: 7594766 MD5sum: 4ffed31d3f0712be5b8aef15a0028747 SHA1: 67f967c6ccc8eaa0e41c0f7e54046957444fcf82 SHA256: ce88724d39d1c9021fe8fcf1127b608206922b8b23bc1ccc09486b0198a03009 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: 0.62.0-1 Architecture: amd64 Maintainer: Josef Heinen Installed-Size: 22486 Depends: libc6 (>= 2.17), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libgs9 (>= 8.61.dfsg.1), libqt5core5a (>= 5.0.2), libqt5gui5 (>= 5.0.2) | libqt5gui5-gles (>= 5.0.2), libqt5network5 (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 5.2), libx11-6, libxt6 Filename: ./amd64/gr_0.62.0-1_amd64.deb Size: 7518084 MD5sum: 80c99251967752c4363ef022f9ecd5e9 SHA1: 19eb518bbd3b1093a1ff0831823a8d5502d3f894 SHA256: 3e16d70e3367494d52f8c2724a5275439b0f7e5264d617df94373901d4446dd6 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 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: 93594 MD5sum: 56f474378c49d27c85a5a15d9e8d1ecb SHA1: b36f29399713624b337ba18aa7c8f61ec4f71eab SHA256: 3a421c53163576dd1c4f33f8c8fa71affa9bc1e2ea399e5d6c791882c55b8c93 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 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: 93800 MD5sum: b16db60ec80b52b14ff14a37136a6ca1 SHA1: e1caf907717cb53a6b3ed1fca24c7b31e2e4e22c SHA256: 03a43b2357853896a4174d0ce40451f00d3bf194621ee252094bdd4605941d68 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.