{
    "info": {
        "author": "demi_ian_jing",
        "author_email": "demiliu@uw.edu",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering"
        ],
        "description": "\n\nPEAKABOO\n========\nWe have designed an open-source package to identify self-consistent spectrally\nand temporally evolving signatures of charge carriers after photoexcitation in\ntransient absorption (TA) data. With minimal assumption, our algorithm\nrecovers and visualizes the spectral and kinetics information of\nthe individual population by combining methods such as multivariate\nadaptive regression spline fitting anddata clustering.\n\nTo get started using these components in your own software, please go to the\nrepository README: https://github.com/liud16/peakaboo/README.md\n\nLicense\n=======\n``PEAKABOO`` is licensed under the terms of the MIT license. See the file\n\"LICENSE\" for information on the history of this software, terms & conditions\nfor usage, and a DISCLAIMER OF ALL WARRANTIES.\n",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "http://github.com/liud16/peakaboo",
        "keywords": "",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "PEAKABOO",
        "package_url": "https://pypi.org/project/PEAKABOO/",
        "platform": "OS Independent",
        "project_url": "https://pypi.org/project/PEAKABOO/",
        "project_urls": {
            "Homepage": "http://github.com/liud16/peakaboo"
        },
        "release_url": "https://pypi.org/project/PEAKABOO/0.14.dev0/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "Peakaboo: Feature Analysis in Transient Absorption Spectroscopy",
        "version": "0.14.dev0"
    },
    "last_serial": 4013325,
    "releases": {
        "0.14.dev0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "4e2e536b652fe6d51f09ffdeb00351e0",
                    "sha256": "7ed4bf0a2ae498a384766b20dc0853ce4552bf15c6db992a71ee9b1866e8134c"
                },
                "downloads": -1,
                "filename": "PEAKABOO-0.14.dev0.tar.gz",
                "has_sig": false,
                "md5_digest": "4e2e536b652fe6d51f09ffdeb00351e0",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 1129526,
                "upload_time": "2018-06-28T23:37:08",
                "url": "https://files.pythonhosted.org/packages/7e/e2/2969301aa79690279889d460a2b90d7f39d8b784cd47f3b6e5e8d4e78274/PEAKABOO-0.14.dev0.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "4e2e536b652fe6d51f09ffdeb00351e0",
                "sha256": "7ed4bf0a2ae498a384766b20dc0853ce4552bf15c6db992a71ee9b1866e8134c"
            },
            "downloads": -1,
            "filename": "PEAKABOO-0.14.dev0.tar.gz",
            "has_sig": false,
            "md5_digest": "4e2e536b652fe6d51f09ffdeb00351e0",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 1129526,
            "upload_time": "2018-06-28T23:37:08",
            "url": "https://files.pythonhosted.org/packages/7e/e2/2969301aa79690279889d460a2b90d7f39d8b784cd47f3b6e5e8d4e78274/PEAKABOO-0.14.dev0.tar.gz"
        }
    ]
}