EQcorrscan


NameEQcorrscan JSON
Version 0.5.0 PyPI version JSON
download
home_pagehttps://github.com/eqcorrscan/EQcorrscan
SummaryEQcorrscan - matched-filter earthquake detection and analysis
upload_time2023-12-12 01:35:04
maintainer
docs_urlNone
authorCalum Chamberlain
requires_python
licenseLGPL
keywords earthquake correlation detection match-filter
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage
            
EQcorrscan: repeating and near-repeating earthquake detection and analysis
in Python.  Open-source routines for: systematic template
creation, matched-filter detection, subspace detection, brightness detection,
clustering of seismic events, magnitude calculation by singular value
decomposition, and more!

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/eqcorrscan/EQcorrscan",
    "name": "EQcorrscan",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "earthquake correlation detection match-filter",
    "author": "Calum Chamberlain",
    "author_email": "calum.chamberlain@vuw.ac.nz",
    "download_url": "https://files.pythonhosted.org/packages/d5/aa/b60b643f334fff7920f2eb5166ec87ebc904fb96c776ed70ff27e58f9171/EQcorrscan-0.5.0.tar.gz",
    "platform": null,
    "description": "\nEQcorrscan: repeating and near-repeating earthquake detection and analysis\nin Python.  Open-source routines for: systematic template\ncreation, matched-filter detection, subspace detection, brightness detection,\nclustering of seismic events, magnitude calculation by singular value\ndecomposition, and more!\n",
    "bugtrack_url": null,
    "license": "LGPL",
    "summary": "EQcorrscan - matched-filter earthquake detection and analysis",
    "version": "0.5.0",
    "project_urls": {
        "Homepage": "https://github.com/eqcorrscan/EQcorrscan"
    },
    "split_keywords": [
        "earthquake",
        "correlation",
        "detection",
        "match-filter"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "d5aab60b643f334fff7920f2eb5166ec87ebc904fb96c776ed70ff27e58f9171",
                "md5": "dbbbce58c2e88fd6e72013b5bf615025",
                "sha256": "bf36e0d6eccb5257bfceeaa8c40b744d8519978e49330835d73d5fd5fbed73c3"
            },
            "downloads": -1,
            "filename": "EQcorrscan-0.5.0.tar.gz",
            "has_sig": false,
            "md5_digest": "dbbbce58c2e88fd6e72013b5bf615025",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 3208909,
            "upload_time": "2023-12-12T01:35:04",
            "upload_time_iso_8601": "2023-12-12T01:35:04.152401Z",
            "url": "https://files.pythonhosted.org/packages/d5/aa/b60b643f334fff7920f2eb5166ec87ebc904fb96c776ed70ff27e58f9171/EQcorrscan-0.5.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-12-12 01:35:04",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "eqcorrscan",
    "github_project": "EQcorrscan",
    "travis_ci": false,
    "coveralls": true,
    "github_actions": true,
    "requirements": [],
    "lcname": "eqcorrscan"
}
        
Elapsed time: 0.17139s