gr


Namegr JSON
Version 1.24.0 PyPI version JSON
download
home_pagehttp://gr-framework.org
SummaryPython visualization framework
upload_time2024-03-01 08:52:01
maintainerJosef Heinen
docs_urlNone
authorScientific IT Systems
requires_python
licenseMIT License
keywords gr
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            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.

*GR* was developed by the Scientific IT-Systems group at the Peter
Gruenberg Institute at Forschunsgzentrum Juelich. The main development has
been done by Josef Heinen who currently maintains the software, but
there are other developers who currently make valuable contributions.
Special thanks to Florian Rhiem (*GR3*] and Christian Felder (qtgr,
setup.py).

Starting with release 0.6 *GR* can be used as a backend for
`Matplotlib <http://matplotlib.org>`__ and significantly improve the
performance of existing Matplotlib or PyPlot applications written in
Python or Julia, respectively. In
`this <http://gr-framework.org/tutorials/matplotlib.html>`__ tutorial
section you can find some examples.

Beginning with version 0.10.0 *GR* supports inline graphics which shows
up in IPython's Qt Console or interactive computing environments for
*Python* and *Julia*, such as `IPython <http://ipython.org>`__ and
`Jupyter <https://jupyter.org>`__. An interesting example can be found
`here <http://pgi-jcns.fz-juelich.de/pub/doc/700K_460.html>`__.

For further information please refer to the
`GR home page <http://gr-framework.org>`__.

            

Raw data

            {
    "_id": null,
    "home_page": "http://gr-framework.org",
    "name": "gr",
    "maintainer": "Josef Heinen",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "gr",
    "author": "Scientific IT Systems",
    "author_email": "j.heinen@fz-juelich.de",
    "download_url": "https://files.pythonhosted.org/packages/d4/cb/fa0cb2d171831c964701084360676e754d1d5023b9a6c46f1e644a093b54/gr-1.24.0.tar.gz",
    "platform": "Linux",
    "description": "GR - a universal framework for visualization applications\n=========================================================\n\n*GR* is a universal framework for cross-platform visualization\napplications. It offers developers a compact, portable and consistent\ngraphics library for their programs. Applications range from publication\nquality 2D graphs to the representation of complex 3D scenes.\n\n*GR* is essentially based on an implementation of a Graphical Kernel\nSystem (GKS) and OpenGL. As a self-contained system it can quickly and\neasily be integrated into existing applications (i.e. using the\n``ctypes`` mechanism in Python or ``ccall`` in Julia).\n\nThe *GR* framework can be used in imperative programming systems or\nintegrated into modern object-oriented systems, in particular those\nbased on GUI toolkits. *GR* is characterized by its high\ninteroperability and can be used with modern web technologies. The *GR*\nframework is especially suitable for real-time or signal processing\nenvironments.\n\n*GR* was developed by the Scientific IT-Systems group at the Peter\nGruenberg Institute at Forschunsgzentrum Juelich. The main development has\nbeen done by Josef Heinen who currently maintains the software, but\nthere are other developers who currently make valuable contributions.\nSpecial thanks to Florian Rhiem (*GR3*] and Christian Felder (qtgr,\nsetup.py).\n\nStarting with release 0.6 *GR* can be used as a backend for\n`Matplotlib <http://matplotlib.org>`__ and significantly improve the\nperformance of existing Matplotlib or PyPlot applications written in\nPython or Julia, respectively. In\n`this <http://gr-framework.org/tutorials/matplotlib.html>`__ tutorial\nsection you can find some examples.\n\nBeginning with version 0.10.0 *GR* supports inline graphics which shows\nup in IPython's Qt Console or interactive computing environments for\n*Python* and *Julia*, such as `IPython <http://ipython.org>`__ and\n`Jupyter <https://jupyter.org>`__. An interesting example can be found\n`here <http://pgi-jcns.fz-juelich.de/pub/doc/700K_460.html>`__.\n\nFor further information please refer to the\n`GR home page <http://gr-framework.org>`__.\n",
    "bugtrack_url": null,
    "license": "MIT License",
    "summary": "Python visualization framework",
    "version": "1.24.0",
    "project_urls": {
        "Homepage": "http://gr-framework.org"
    },
    "split_keywords": [
        "gr"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "d4cbfa0cb2d171831c964701084360676e754d1d5023b9a6c46f1e644a093b54",
                "md5": "77306dcb6cc356538d6152648afa2246",
                "sha256": "4a2155808f700a9bef8a32d48574f8952ac4f398e1906aee72735c9b503c8df8"
            },
            "downloads": -1,
            "filename": "gr-1.24.0.tar.gz",
            "has_sig": false,
            "md5_digest": "77306dcb6cc356538d6152648afa2246",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 125683,
            "upload_time": "2024-03-01T08:52:01",
            "upload_time_iso_8601": "2024-03-01T08:52:01.331388Z",
            "url": "https://files.pythonhosted.org/packages/d4/cb/fa0cb2d171831c964701084360676e754d1d5023b9a6c46f1e644a093b54/gr-1.24.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-03-01 08:52:01",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "gr"
}
        
Elapsed time: 0.21568s