Package: gr Version: 0.73.6-1 Architecture: amd64 Maintainer: Josef Heinen Installed-Size: 32056 Depends: libc6 (>= 2.27), libexpat1 (>= 2.0.1), libgcc1 (>= 1:3.4), libgl1, libgs9 (>= 8.61.dfsg.1), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 5.8.0), libqt5network5 (>= 5.0.2), libqt5widgets5 (>= 5.2.0~alpha1), libstdc++6 (>= 5.2), libx11-6, libxt6 Filename: amd64/gr_0.73.6-1_amd64.deb Size: 10145996 MD5sum: 4b80832adf9d19d0d3f01abff87e8dbf SHA1: 6e359d875200a0098ea9166036163b0344af0ead SHA256: 2337c9850e82769acf3190530604bfa8008844e3da0107a8e434d625ced6042c 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: 0.73.6-1 Architecture: i386 Maintainer: Josef Heinen Installed-Size: 31441 Depends: libc6 (>= 2.27), libexpat1 (>= 2.0.1), libgcc1 (>= 1:7), libgl1, libgs9 (>= 8.61.dfsg.1), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 5.8.0), libqt5network5 (>= 5.0.2), libqt5widgets5 (>= 5.2.0~alpha1), libstdc++6 (>= 5.2), libx11-6, libxt6 Filename: i386/gr_0.73.6-1_i386.deb Size: 10185200 MD5sum: 37fe92881e593cdf678af59997717f31 SHA1: c3e1d92a1ab30d682114f47cc936d66e6cd045bc SHA256: 99e66220fd3c7f073ebbc922f1e8213b762fb6d61ca42626863697deda7a789e 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: 0.73.5+2~f2995b26-1 Architecture: amd64 Maintainer: Josef Heinen Installed-Size: 615 Depends: python3-numpy, python3:any (>= 3.4~), gr (>= 0.27.0) Filename: amd64/python3-gr_0.73.5+2~f2995b26-1_amd64.deb Size: 95780 MD5sum: 014c62ca32a76890f3e62779e292ceb4 SHA1: 2b62e29e6b2c33d155d8404b2e02c080738fb7d5 SHA256: ce61065926c70e4f95c0ff086b6b2e49bcacf1278c94790edc078a7fcd437ced 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: 0.73.5+2~f2995b26-1 Architecture: i386 Maintainer: Josef Heinen Installed-Size: 615 Depends: python3-numpy, python3:any (>= 3.4~), gr (>= 0.27.0) Filename: i386/python3-gr_0.73.5+2~f2995b26-1_i386.deb Size: 95860 MD5sum: a08c364d5117ec4674d6f3f5bfa2c189 SHA1: 3569a0d516235a289beaecd84f462e3a865afc1a SHA256: 283b2ef4e9f8e481a751ed8666f11c3b1f2ab94032abc858e97782e31cbc275e 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.