{
    "info": {
        "author": "Sisi Fan, Quentin Geissmann, Eszter Lakatos, Saulius Lukauskas, Angelique Ale, Ann C. Babtie, Paul D.W. Kirk, Michael P.H. Stumpf",
        "author_email": "m.stumpf@imperial.ac.uk,e.lakatos13@imperial.ac.uk",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Topic :: Scientific/Engineering"
        ],
        "description": "MEANS: python package for Moment Expansion Approximation, iNference and Simulation\n\nA free, user-friendly tool implementing an efficient moment expansion approximation with parametric closures\nthat integrates well with the IPython interactive environment.\nOur package enables the analysis of complex stochastic systems without any constraints\non the number of species and moments studied and the type of rate laws in the system.\nIn addition to the approximation method our package provides numerous tools to help\nnon-expert users in stochastic analysis.",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "UNKNOWN",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/theosysbio/means",
        "keywords": "moment expansion,approximation,simulation,inference",
        "license": "MIT",
        "maintainer": null,
        "maintainer_email": null,
        "name": "means",
        "package_url": "https://pypi.org/project/means/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/means/",
        "project_urls": {
            "Download": "UNKNOWN",
            "Homepage": "https://github.com/theosysbio/means"
        },
        "release_url": "https://pypi.org/project/means/1.0.0/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "Moment Expansion Approximation method implementation with simulation and inference packages",
        "version": "1.0.0"
    },
    "last_serial": 1857712,
    "releases": {
        "1.0.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "776f94f0708d849da64659706736c991",
                    "sha256": "427950d9e349a53d32771cf59ddc4ace9cb09a0b9405fedc9f39e953cc7befc9"
                },
                "downloads": -1,
                "filename": "means-1.0.0.tar.gz",
                "has_sig": false,
                "md5_digest": "776f94f0708d849da64659706736c991",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 111615,
                "upload_time": "2015-12-11T15:53:12",
                "url": "https://files.pythonhosted.org/packages/3b/45/da6b531cc5bf91b0ee6505304a5b71d7ca3b2783ae4c9c5e53f62d81b3eb/means-1.0.0.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "776f94f0708d849da64659706736c991",
                "sha256": "427950d9e349a53d32771cf59ddc4ace9cb09a0b9405fedc9f39e953cc7befc9"
            },
            "downloads": -1,
            "filename": "means-1.0.0.tar.gz",
            "has_sig": false,
            "md5_digest": "776f94f0708d849da64659706736c991",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 111615,
            "upload_time": "2015-12-11T15:53:12",
            "url": "https://files.pythonhosted.org/packages/3b/45/da6b531cc5bf91b0ee6505304a5b71d7ca3b2783ae4c9c5e53f62d81b3eb/means-1.0.0.tar.gz"
        }
    ]
}