Package: gr Version: 0.31.1 Architecture: i386 Maintainer: Josef Heinen Installed-Size: 45278 Depends: libc6 (>= 2.11), libcairo2 (>= 1.6.0), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libgs9 (>= 8.61.dfsg.1), libqt4-network (>= 4:4.5.3), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.1.1), libx11-6, libxt6 Filename: ./i386/gr_0.31.1_i386.deb Size: 22187578 MD5sum: ac4cfa56c07282e2b9bcfe03b444db67 SHA1: 7764be9438ea115ca0b9e46032a71f96c5fc7d04 SHA256: 3fe9f847193879b77e224ef2805e884c4bad9c8ebc38b768ab29bd05f2887864 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: 0.31.1 Architecture: amd64 Maintainer: Josef Heinen Installed-Size: 45872 Depends: libc6 (>= 2.14), libcairo2 (>= 1.6.0), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libgs9 (>= 8.61.dfsg.1), libqt4-network (>= 4:4.5.3), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.1.1), libx11-6, libxt6 Filename: ./amd64/gr_0.31.1_amd64.deb Size: 22244056 MD5sum: 6f4738d8fbabe16dcc205c1e67f06fd2 SHA1: 9819196c44f156ff6aeb5eca6d571b02cd3bd2c5 SHA256: 7cd616260dc592a99f83dc1a3e2f407bbdd1cc0b5a1dc622e465432744d6e747 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: python-gr Version: 1.3.2 Architecture: i386 Maintainer: Josef Heinen Installed-Size: 432 Depends: python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-numpy, gr (>= 0.27.0) Filename: ./i386/python-gr_1.3.2_i386.deb Size: 72954 MD5sum: 43eb360686e4629bec16a69ac8cfaa81 SHA1: ad01c087235cbf73459ff95bee3cff0c11886a97 SHA256: f11de9e61e860035543063435c846f1ebaf7180e1195c2ad9af6c76a38618b88 Section: python Priority: optional Description: Python 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: python-gr Version: 1.3.2 Architecture: amd64 Maintainer: Josef Heinen Installed-Size: 432 Depends: python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-numpy, gr (>= 0.27.0) Filename: ./amd64/python-gr_1.3.2_amd64.deb Size: 74000 MD5sum: 45cf0c5612f833b9a3bd25a9f333526c SHA1: 9d14a2cabf9019281476c628285aec2a89e70979 SHA256: 3785a56de8fe4444a25615b675f2dbdebf9c15f2b47789ed9130349a3c853dc1 Section: python Priority: optional Description: Python 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.