Package: gr Version: 0.57.1+3-1 Architecture: amd64 Maintainer: Josef Heinen Installed-Size: 22776 Depends: libatk1.0-0 (>= 1.12.4), libc6 (>= 2.17), libfontconfig1 (>= 2.11), libgcc1 (>= 1:3.0), libgdk-pixbuf2.0-0 (>= 2.22.0), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.16.0), libgs9 (>= 8.61.dfsg.1), libgtk2.0-0 (>= 2.8.0), libpango-1.0-0 (>= 1.14.0), libpangocairo-1.0-0 (>= 1.14.0), libpangoft2-1.0-0 (>= 1.14.0), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.2.0), libqt5network5 (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 5.2), libx11-6, libxt6 Filename: ./amd64/gr_0.57.1+3-1_amd64.deb Size: 7677210 MD5sum: 5c905a1f09ec14e765afdf81ebd563a4 SHA1: b0f0ea519e42f74cd1731ac16174cf76d7db5b24 SHA256: 3ce30db41cb5b757e3d9c565d51d61f86014cd64c3744299b92e2c3fb1f9f23f 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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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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Package: python3-gr Source: python-gr Version: 1.16.1~1.2fd1f47-1 Architecture: armhf Maintainer: Josef Heinen Installed-Size: 581 Depends: python3-numpy, python3:any (>= 3.4~), gr (>= 0.27.0) Filename: ./armhf/python3-gr_1.16.1~1.2fd1f47-1_armhf.deb Size: 91364 MD5sum: 39ea206fe97c47e27977ccaee3730d3f SHA1: 6cc874833ae6665a42e98f8030f06953a322b940 SHA256: bb8cc67c01e1cc5d434af66e0582b5852f285763f6bb8898432d6e5c105cac2c 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.