{
    "info": {
        "author": "data analysis unit",
        "author_email": "julia.garriga@esrf.fr",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Environment :: Console",
            "Environment :: X11 Applications :: Qt",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: POSIX",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
        ],
        "description": "darfix\n=========\n\nDarfix is a Python library to provide the id06 at the ESRF a series of computer vision techniques, together with a graphical user interface and an Orange3(https://github.com/biolab/orange3) add-on to define the workflow.\n\nInstallation\n------------\n\nTo install the last release run\n\n.. code-block:: bash\n\n    pip install darfix\n\nTo install from sources:\n\n.. code-block:: bash\n\n    git clone https://gitlab.esrf.fr/julia.garriga/darfix.git\n    cd darfix\n    pip install -r requirements.txt\n    pip install .\n\nTo test the orange workflow (only from sources) just run\n\n.. code-block:: bash\n\n    orange-canvas orangecontrib/tutorials/example_tutorial.ows",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://gitlab.com/julia.garriga/darfix",
        "keywords": "",
        "license": "MIT License",
        "maintainer": "",
        "maintainer_email": "",
        "name": "darfix",
        "package_url": "https://pypi.org/project/darfix/",
        "platform": "linux",
        "project_url": "https://pypi.org/project/darfix/",
        "project_urls": {
            "Homepage": "https://gitlab.com/julia.garriga/darfix"
        },
        "release_url": "https://pypi.org/project/darfix/0.2.0/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "Computer vision software for the interpretation of diffracted images",
        "version": "0.2.0"
    },
    "last_serial": 5977421,
    "releases": {
        "0.2.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "c9f13cc91e5abdc13e6c4bcc9aa2dea9",
                    "sha256": "726c7617e0fff778ea46741ce9a7c324d4e24a7ef866fc9e11eee1ea7541db4f"
                },
                "downloads": -1,
                "filename": "darfix-0.2.0.linux-x86_64.tar.gz",
                "has_sig": false,
                "md5_digest": "c9f13cc91e5abdc13e6c4bcc9aa2dea9",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 223680,
                "upload_time": "2019-10-15T13:40:58",
                "url": "https://files.pythonhosted.org/packages/3e/1e/3d90b50aa0ce8ba7e367fe2cfb83ab41eecbbd5278a661d0c55bdae228a7/darfix-0.2.0.linux-x86_64.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "c9f13cc91e5abdc13e6c4bcc9aa2dea9",
                "sha256": "726c7617e0fff778ea46741ce9a7c324d4e24a7ef866fc9e11eee1ea7541db4f"
            },
            "downloads": -1,
            "filename": "darfix-0.2.0.linux-x86_64.tar.gz",
            "has_sig": false,
            "md5_digest": "c9f13cc91e5abdc13e6c4bcc9aa2dea9",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 223680,
            "upload_time": "2019-10-15T13:40:58",
            "url": "https://files.pythonhosted.org/packages/3e/1e/3d90b50aa0ce8ba7e367fe2cfb83ab41eecbbd5278a661d0c55bdae228a7/darfix-0.2.0.linux-x86_64.tar.gz"
        }
    ]
}