Package: gr Version: 0.71.1-1 Architecture: amd64 Maintainer: Josef Heinen Installed-Size: 24289 Depends: libc6 (>= 2.17), libgcc1 (>= 1:3.4), libgl1-mesa-glx | libgl1, libgs9 (>= 8.61.dfsg.1), libqt5core5a (>= 5.7.0), 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_0.71.1-1_amd64.deb Size: 7972674 MD5sum: 1c3a6a89fcaea1e7183367be5af5e86d SHA1: 561554a48ade02e4b23503699f008486a62af3c2 SHA256: d8172808b02c1c386d36766b0f20bb9f24514fae6f68f3eb4d4bb84b06f9e649 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: 0.71.1-1 Architecture: i386 Maintainer: Josef Heinen Installed-Size: 24179 Depends: libc6 (>= 2.17), libgcc1 (>= 1:3.4), libgl1-mesa-glx | libgl1, libgs9 (>= 8.61.dfsg.1), libqt5core5a (>= 5.7.0), 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_0.71.1-1_i386.deb Size: 8094502 MD5sum: 57229a86572b4d9a2e2ab58bde818658 SHA1: dfe6a6da08994cf6eb7ca20219a832883c51e8f9 SHA256: b3337a42fe9f2afee83ed2b10cf4b16c3bf52261ccdce6291ae6927a28dd53ea 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: 1.20.0-1 Architecture: amd64 Maintainer: Josef Heinen Installed-Size: 599 Depends: python3-numpy, python3:any (>= 3.4~), gr (>= 0.27.0) Filename: ./amd64/python3-gr_1.20.0-1_amd64.deb Size: 93756 MD5sum: 747abc62efe275898f1c658ef205b7d1 SHA1: 7c9f99f6b0f3409d96e66396802023aff9ebdc9c SHA256: 824570e3647020a71d20e626907466ad1ad90a128f7e13ba67dc27f07dc6a436 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: 1.20.0-1 Architecture: i386 Maintainer: Josef Heinen Installed-Size: 599 Depends: python3-numpy, python3:any (>= 3.4~), gr (>= 0.27.0) Filename: ./i386/python3-gr_1.20.0-1_i386.deb Size: 93766 MD5sum: 7f75d43ccc3c73dbda12052c62cb690b SHA1: 2ce70eb680a7f5860fcaaf7f7103060ff8009915 SHA256: 11b11144caaed2482189846ee2aa5a41894c6288b834de86ecd85373e25da8ce 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.