{
    "info": {
        "author": "",
        "author_email": "",
        "bugtrack_url": null,
        "classifiers": [],
        "description": "# RevPy\n\n[![Build Status](https://travis-ci.org/flix-tech/RevPy.svg?branch=master)](https://travis-ci.org/flix-tech/RevPy)\n\nCollection of some revenue management tools for Python 3. \n\n## Features\n\n- Single leg optimizer (EMSRb)\n- Fare transformation for unrestricted fare structures\n- EMSRb for unrestricted fare structures (EMSRb-MR)\n- A multi-flight recapture method (MFRM) for estimating unconstrained demand from sales transaction data\n\n## TODO\n - Leg bid price calculator for networks using deterministic LP method\n - Based on this, implementation of DAVN\n\n## Literature\n1. Talluri and van Ryzin: \"The Theory and Practice of Revenue Management\", _Springer_ (2004)\n2. Fiig et al.: \"Optimization of mixed fare structures: Theory and applications\", _Journal of Revenue and Pricing Management_ (2010)\n3. Ratliff et al.: \"A multi-flight recapture heuristic for estimating unconstrained demand from airline bookings\", _Journal of Revenue and Pricing Management_ (2008)",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "",
        "keywords": "",
        "license": "",
        "maintainer": "",
        "maintainer_email": "",
        "name": "revpy",
        "package_url": "https://pypi.org/project/revpy/",
        "platform": "",
        "project_url": "https://pypi.org/project/revpy/",
        "project_urls": null,
        "release_url": "https://pypi.org/project/revpy/0.1.1/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "",
        "version": "0.1.1"
    },
    "last_serial": 2628496,
    "releases": {
        "0.1.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "f600323b5e26a4c3a8192c62b1add109",
                    "sha256": "8d438d51beb6aca7968d58f2332a99dfbb56231847dcb63249ac03b6d70e8673"
                },
                "downloads": -1,
                "filename": "revpy-0.1.1.tar.gz",
                "has_sig": false,
                "md5_digest": "f600323b5e26a4c3a8192c62b1add109",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 8426,
                "upload_time": "2017-02-08T15:56:51",
                "url": "https://files.pythonhosted.org/packages/ff/66/65126990819cf810d12718d87ad4bdbf104a594c051a827844b5515749ef/revpy-0.1.1.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "f600323b5e26a4c3a8192c62b1add109",
                "sha256": "8d438d51beb6aca7968d58f2332a99dfbb56231847dcb63249ac03b6d70e8673"
            },
            "downloads": -1,
            "filename": "revpy-0.1.1.tar.gz",
            "has_sig": false,
            "md5_digest": "f600323b5e26a4c3a8192c62b1add109",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 8426,
            "upload_time": "2017-02-08T15:56:51",
            "url": "https://files.pythonhosted.org/packages/ff/66/65126990819cf810d12718d87ad4bdbf104a594c051a827844b5515749ef/revpy-0.1.1.tar.gz"
        }
    ]
}