{
    "info": {
        "author": "BES Data Solutions Pilot",
        "author_email": "dallan@bnl.gov",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Natural Language :: English",
            "Programming Language :: Python :: 3"
        ],
        "description": "===============================\nautocorr\n===============================\n\n.. image:: https://img.shields.io/travis/scikit-beam/autocorr.svg\n        :target: https://travis-ci.org/scikit-beam/autocorr\n\n.. image:: https://img.shields.io/pypi/v/autocorr.svg\n        :target: https://pypi.python.org/pypi/autocorr\n\n\nThis library, still in very early development, aims to grow into a one-stop\nshop for all things XPCS. As it first step, it will be used to study and\nconsolidate many existing implementations of g2 autocorrelation and related\nfunctions.\n\nSee the `documentation <https://scikit-beam.github.io/autocorr/>`_ for\ninstallation and usage instructions.",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/scikit-beam/autocorr",
        "keywords": "",
        "license": "BSD (3-clause)",
        "maintainer": "",
        "maintainer_email": "",
        "name": "autocorr",
        "package_url": "https://pypi.org/project/autocorr/",
        "platform": "",
        "project_url": "https://pypi.org/project/autocorr/",
        "project_urls": {
            "Homepage": "https://github.com/scikit-beam/autocorr"
        },
        "release_url": "https://pypi.org/project/autocorr/0.0.1/",
        "requires_dist": null,
        "requires_python": ">=3.6",
        "summary": "Library for XPCS and image autocorrelation in general",
        "version": "0.0.1"
    },
    "last_serial": 5914532,
    "releases": {
        "0.0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "fce0897e40c7aa929d1b698df839a494",
                    "sha256": "4db62d8f173bc64f517f738ca56b354cc06cd7f4ce5a4d5802d4d86f462d3fcb"
                },
                "downloads": -1,
                "filename": "autocorr-0.0.1.tar.gz",
                "has_sig": false,
                "md5_digest": "fce0897e40c7aa929d1b698df839a494",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6",
                "size": 29661,
                "upload_time": "2019-10-01T20:00:01",
                "url": "https://files.pythonhosted.org/packages/31/6d/4a65fe1c87606bf1bacd18ec1513721699f3389e1147d1e0dc7ed4f59b15/autocorr-0.0.1.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "fce0897e40c7aa929d1b698df839a494",
                "sha256": "4db62d8f173bc64f517f738ca56b354cc06cd7f4ce5a4d5802d4d86f462d3fcb"
            },
            "downloads": -1,
            "filename": "autocorr-0.0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "fce0897e40c7aa929d1b698df839a494",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6",
            "size": 29661,
            "upload_time": "2019-10-01T20:00:01",
            "url": "https://files.pythonhosted.org/packages/31/6d/4a65fe1c87606bf1bacd18ec1513721699f3389e1147d1e0dc7ed4f59b15/autocorr-0.0.1.tar.gz"
        }
    ]
}