MQR
---
This library is a python toolkit for manufacturing and design statistics.
Installation
------------
`pip install mqr-quality`
Import the package using:<br>
`import mqr`
Documentation
-------------
The documentation, including a user guide and API reference is at https://nklsxn.github.io/mqr/latest/.
A set of detailed examples is available in the repository https://github.com/nklsxn/mqrpy-guide.
License
-------
This package is provided under the BSD License (3-clause).
Credit
------
Copyright (c) 2024 Nikolas Crossan, Kevin Otto
Supported by the University of Melbourne<br>
Department of Mechanical Engineering
Raw data
{
"_id": null,
"home_page": null,
"name": "mqr-quality",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.11",
"maintainer_email": "mqr developers <mqr.python@gmail.com>",
"keywords": "quality, manufacturing, six sigma, design of experiments, dmaic, anova, grr, msa",
"author": "Nikolas Crossan, Kevin Otto",
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/7e/f9/5fb897252d4ec89eb9b2aad9be5f319b6dc963fb146b1646744dd0fa8ea6/mqr_quality-0.5.4.tar.gz",
"platform": null,
"description": "MQR\n---\nThis library is a python toolkit for manufacturing and design statistics.\n\nInstallation\n------------\n`pip install mqr-quality`\n\nImport the package using:<br>\n`import mqr`\n\nDocumentation\n-------------\nThe documentation, including a user guide and API reference is at https://nklsxn.github.io/mqr/latest/.\n\nA set of detailed examples is available in the repository https://github.com/nklsxn/mqrpy-guide.\n\nLicense\n-------\nThis package is provided under the BSD License (3-clause).\n\nCredit\n------\nCopyright (c) 2024 Nikolas Crossan, Kevin Otto\n\nSupported by the University of Melbourne<br>\nDepartment of Mechanical Engineering\n",
"bugtrack_url": null,
"license": null,
"summary": "Design and manufacturing quality improvement toolkit",
"version": "0.5.4",
"project_urls": {
"Documentation": "https://nklsxn.github.io/mqr/latest/",
"Repository": "https://github.com/nklsxn/mqr"
},
"split_keywords": [
"quality",
" manufacturing",
" six sigma",
" design of experiments",
" dmaic",
" anova",
" grr",
" msa"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "49b5acaa2fdd373f764eca49555af620ed5443608f7ea4dffc1be7d14116171d",
"md5": "16e99ce862c2253fcbf3c91edde18a3b",
"sha256": "b087f962669d5f55d95943f7c6471509e4b87f08212497a9a4fb82ae8324fd26"
},
"downloads": -1,
"filename": "mqr_quality-0.5.4-py3-none-any.whl",
"has_sig": false,
"md5_digest": "16e99ce862c2253fcbf3c91edde18a3b",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.11",
"size": 148953,
"upload_time": "2025-01-11T11:10:32",
"upload_time_iso_8601": "2025-01-11T11:10:32.747908Z",
"url": "https://files.pythonhosted.org/packages/49/b5/acaa2fdd373f764eca49555af620ed5443608f7ea4dffc1be7d14116171d/mqr_quality-0.5.4-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "7ef95fb897252d4ec89eb9b2aad9be5f319b6dc963fb146b1646744dd0fa8ea6",
"md5": "ac535b805b699ec70d5de1a14f86f8a5",
"sha256": "c776ce3a487a3d6ef9198a89bf715a662b247ded7ef09306034076f3c4382f7b"
},
"downloads": -1,
"filename": "mqr_quality-0.5.4.tar.gz",
"has_sig": false,
"md5_digest": "ac535b805b699ec70d5de1a14f86f8a5",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.11",
"size": 108310,
"upload_time": "2025-01-11T11:10:34",
"upload_time_iso_8601": "2025-01-11T11:10:34.629442Z",
"url": "https://files.pythonhosted.org/packages/7e/f9/5fb897252d4ec89eb9b2aad9be5f319b6dc963fb146b1646744dd0fa8ea6/mqr_quality-0.5.4.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-01-11 11:10:34",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "nklsxn",
"github_project": "mqr",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "mqr-quality"
}
JSON
