topsis-102203511


Nametopsis-102203511 JSON
Version 1.0.0 PyPI version JSON
download
home_pageNone
SummaryPython implementation of TOPSIS for multi-criteria decision-making
upload_time2025-01-19 19:55:10
maintainerNone
docs_urlNone
authorSneha
requires_python>=3.6
licenseNone
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # TOPSIS Assignment

Python implementation of the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) algorithm for multi-criteria decision-making.

## Installation

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "topsis-102203511",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.6",
    "maintainer_email": null,
    "keywords": null,
    "author": "Sneha",
    "author_email": "sneha30404@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/d2/c4/09b4d81adfdd3226a936b5b4e1ba007b5e10fef084f95546aeebe936584e/topsis_102203511-1.0.0.tar.gz",
    "platform": null,
    "description": "# TOPSIS Assignment\r\n\r\nPython implementation of the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) algorithm for multi-criteria decision-making.\r\n\r\n## Installation\r\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "Python implementation of TOPSIS for multi-criteria decision-making",
    "version": "1.0.0",
    "project_urls": null,
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "54aae52e9979f6d9d47ffb5a4f9b0b23e482fdcdc8616af3adae742c0fc0507f",
                "md5": "26697f917b7d7da809e04c04225f7b6a",
                "sha256": "8a4f8f53cc599895eb96a880d7483dc53c02c7df46547928931af987b10a7bce"
            },
            "downloads": -1,
            "filename": "topsis_102203511-1.0.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "26697f917b7d7da809e04c04225f7b6a",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.6",
            "size": 2234,
            "upload_time": "2025-01-19T19:55:08",
            "upload_time_iso_8601": "2025-01-19T19:55:08.558549Z",
            "url": "https://files.pythonhosted.org/packages/54/aa/e52e9979f6d9d47ffb5a4f9b0b23e482fdcdc8616af3adae742c0fc0507f/topsis_102203511-1.0.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "d2c409b4d81adfdd3226a936b5b4e1ba007b5e10fef084f95546aeebe936584e",
                "md5": "74b671df05ff3af354a90ba81d0cff75",
                "sha256": "52eb81fa72555e851c69ca9c618138f5fbb91b53ea8dad224e1216f39e4c164b"
            },
            "downloads": -1,
            "filename": "topsis_102203511-1.0.0.tar.gz",
            "has_sig": false,
            "md5_digest": "74b671df05ff3af354a90ba81d0cff75",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6",
            "size": 2084,
            "upload_time": "2025-01-19T19:55:10",
            "upload_time_iso_8601": "2025-01-19T19:55:10.613696Z",
            "url": "https://files.pythonhosted.org/packages/d2/c4/09b4d81adfdd3226a936b5b4e1ba007b5e10fef084f95546aeebe936584e/topsis_102203511-1.0.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-01-19 19:55:10",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "topsis-102203511"
}
        
Elapsed time: 0.78040s