Package: gr Version: 0.64.2-1 Architecture: i386 Maintainer: Josef Heinen Installed-Size: 22892 Depends: libc6 (>= 2.17), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libgs9 (>= 8.61.dfsg.1), libqt5core5a (>= 5.6.0~beta), libqt5gui5 (>= 5.0.2) | libqt5gui5-gles (>= 5.0.2), libqt5network5 (>= 5.6.0~beta), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 5.2), libx11-6, libxt6 Filename: ./i386/gr_0.64.2-1_i386.deb Size: 7952226 MD5sum: 7164b324c669d88a9dbf547661b17ea0 SHA1: 021cc4dbe3f3c9bac8f3c818778300424bc3ce88 SHA256: 80511a68f8e0efa287695ed1663f0ea6717fa6db7eb39b0e23a9bc29159139c2 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 Installed-Size: 23013 Depends: libc6 (>= 2.17), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libgs9 (>= 8.61.dfsg.1), libqt5core5a (>= 5.6.0~beta), libqt5gui5 (>= 5.0.2) | libqt5gui5-gles (>= 5.0.2), libqt5network5 (>= 5.6.0~beta), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 5.2), libx11-6, libxt6 Filename: ./amd64/gr_0.64.2-1_amd64.deb Size: 7846888 MD5sum: 0214a9f6e8d9987b93c8a0c5eb3338d5 SHA1: 1d2caf8b30c10cb8f468135dd60898e001341c32 SHA256: 6f924140de568f85d963a557559ab1361c13aacbf52017ae37ca142d56578811 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: 93696 MD5sum: fd6c3b3ee88a8d14877956015927d42b SHA1: 4afaa06e3eab0620574fbac78bae99606ae73847 SHA256: c15d16fbcb897e02d54caa4557987317a08a506baad60e490289090f3c4d5ab0 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: 93724 MD5sum: 205af16932bb00de2798711eccced16d SHA1: ede88e0e7bcef7bd2778da8aa0a26d456c1e0a62 SHA256: be26619a9ba23abe2ee1a3d0a5cc4b8547d0237b65557965919a047599c5f854 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.