Package: gr Version: 0.62.0-1 Architecture: i386 Maintainer: Josef Heinen Installed-Size: 23119 Depends: libatk1.0-0 (>= 1.12.4), libc6 (>= 2.17), libfontconfig1 (>= 2.11), libgcc1 (>= 1:4.1.1), 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 (>= 5.0.2), libqt5gui5 (>= 5.2.0), libqt5network5 (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 4.9), libx11-6, libxt6 Filename: ./i386/gr_0.62.0-1_i386.deb Size: 7889452 MD5sum: 6a15865d9a67080205847eca3ebdf4c5 SHA1: 0fe99806e1460a69913a435eadc812fb54894d4e SHA256: d9b900f1703b7f01dc85a499153ccc4946612bcd1ed380f3c3ce53296e47599e 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: 23207 Depends: libatk1.0-0 (>= 1.12.4), libc6 (>= 2.17), libfontconfig1 (>= 2.11), libgcc1 (>= 1:4.1.1), 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 (>= 5.0.2), libqt5gui5 (>= 5.2.0), libqt5network5 (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 4.9), libx11-6, libxt6 Filename: ./amd64/gr_0.62.0-1_amd64.deb Size: 7552532 MD5sum: 5278d9addd6cb8e38848c4052770248f SHA1: 5e33006699dad4d61cf6e8ee80d6df5f91e4199c SHA256: 68385186e55aab93b1a3b134073c6beed8ed40936941cd4694c44d887332d20c 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: 1.18.0-1 Architecture: i386 Maintainer: Josef Heinen Installed-Size: 626 Depends: python3-numpy, python3:any (>= 3.4~), gr (>= 0.27.0) Filename: ./i386/python3-gr_1.18.0-1_i386.deb Size: 93110 MD5sum: 51a490fdd48ea86e99a1b9bade109f31 SHA1: 1b673a111bfd1a18180ca4076c455b776c57300b SHA256: 76035874f152c569bfbd759df6d721040dad02b1bed2e41a58c3272354779a7f 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: 1.18.0-1 Architecture: amd64 Maintainer: Josef Heinen Installed-Size: 626 Depends: python3-numpy, python3:any (>= 3.4~), gr (>= 0.27.0) Filename: ./amd64/python3-gr_1.18.0-1_amd64.deb Size: 93126 MD5sum: e4fd96647bbe2cd0448de83dfbe6f2f0 SHA1: 80079904a59ec38bc975ef7260777bdfa380d196 SHA256: 105926663616c7c2a3bea0fdb58316f857d1aea2a6f5f0b3b72149337440896c 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.