dapper

Name	dapper JSON
Version	1.6.0 JSON
	download
home_page
Summary	DAPPER benchmarks the performance of data assimilation (DA) methods.
upload_time	2024-02-26 17:11:30
maintainer
docs_url	None
author	Patrick N. Raanes
requires_python	>=3.9
license
keywords	data-assimilation enkf kalman-filtering state-estimation particle-filter kalman bayesian-methods bayesian-filter chaos
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            It is usually best to install from source (github),
so that you the code is readily available to play with.
See full README on [github](https://github.com/nansencenter/DAPPER).

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "dapper",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.9",
    "maintainer_email": "",
    "keywords": "data-assimilation enkf kalman-filtering state-estimation particle-filter kalman bayesian-methods bayesian-filter chaos",
    "author": "Patrick N. Raanes",
    "author_email": "patrick.n.raanes@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/20/93/b1fe063dcf9dbb0b101618ca75cc7682e83bd9c0d1c3ee80c6f41bfa6b77/dapper-1.6.0.tar.gz",
    "platform": null,
    "description": "It is usually best to install from source (github),\nso that you the code is readily available to play with.\nSee full README on [github](https://github.com/nansencenter/DAPPER).\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "DAPPER benchmarks the performance of data assimilation (DA) methods.",
    "version": "1.6.0",
    "project_urls": {
        "Documentation": "https://nansencenter.github.io/DAPPER/",
        "Source": "https://github.com/nansencenter/DAPPER",
        "Tracker": "https://github.com/nansencenter/DAPPER/issues"
    },
    "split_keywords": [
        "data-assimilation",
        "enkf",
        "kalman-filtering",
        "state-estimation",
        "particle-filter",
        "kalman",
        "bayesian-methods",
        "bayesian-filter",
        "chaos"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "270718c30e0b183a79dcdbf75b22129d5b503d38ccc98600ea743a3e3ad6ed18",
                "md5": "e38ec93696664cf0022f5f19b671b327",
                "sha256": "4ccbae91abcf87be95d3a2ae4be0fbb93dc5d2497e5437ffb45d830db697662a"
            },
            "downloads": -1,
            "filename": "dapper-1.6.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "e38ec93696664cf0022f5f19b671b327",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.9",
            "size": 330277,
            "upload_time": "2024-02-26T17:11:28",
            "upload_time_iso_8601": "2024-02-26T17:11:28.753197Z",
            "url": "https://files.pythonhosted.org/packages/27/07/18c30e0b183a79dcdbf75b22129d5b503d38ccc98600ea743a3e3ad6ed18/dapper-1.6.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "2093b1fe063dcf9dbb0b101618ca75cc7682e83bd9c0d1c3ee80c6f41bfa6b77",
                "md5": "26cec809d345654d91e710be67b16cb5",
                "sha256": "3e5a979062506fdca47e0cbbbe9df88d68ba4df9b6c9c3df3d8f3a225dd64953"
            },
            "downloads": -1,
            "filename": "dapper-1.6.0.tar.gz",
            "has_sig": false,
            "md5_digest": "26cec809d345654d91e710be67b16cb5",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.9",
            "size": 290874,
            "upload_time": "2024-02-26T17:11:30",
            "upload_time_iso_8601": "2024-02-26T17:11:30.737720Z",
            "url": "https://files.pythonhosted.org/packages/20/93/b1fe063dcf9dbb0b101618ca75cc7682e83bd9c0d1c3ee80c6f41bfa6b77/dapper-1.6.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-02-26 17:11:30",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "nansencenter",
    "github_project": "DAPPER",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "dapper"
}