Package: gr Version: 0.73.14-1 Architecture: arm64 Maintainer: Josef Heinen Installed-Size: 68679 Depends: libc6 (>= 2.30), libgcc-s1 (>= 4.2), 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: arm64/gr_0.73.14-1_arm64.deb Size: 18614616 MD5sum: 1e8077251d46f89ea5f426d7c282a3f6 SHA1: d5db2e785ddca858edbaac540d770ab144cb8fdc SHA256: 531955e52f1001d8fb2e732a8c3769bc9af9cef3bb39aa20af4541713aa0c926 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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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: 1.27.0-1 Architecture: amd64 Maintainer: Josef Heinen Installed-Size: 619 Depends: python3-numpy, python3:any (>= 3.4~), gr (>= 0.27.0) Filename: amd64/python3-gr_1.27.0-1_amd64.deb Size: 96556 MD5sum: ea175c63a5b64d9e304d207a671dc05d SHA1: c4faec2405025bf371361f5378f43b75a6f5448d SHA256: ce32ce24648d15e3f5de07d195a456ffe70789981affb78203557c62de11f4c3 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.