Metadata-Version: 2.4
Name: mqrpy
Version: 0.6.4
Summary: Design and manufacturing quality improvement toolkit
Author: Nikolas Crossan, Kevin Otto
Maintainer-email: mqr developers <mqr.python@gmail.com>
Project-URL: Documentation, https://nklsxn.github.io/mqr/latest/
Project-URL: Repository, https://github.com/nklsxn/mqr
Keywords: quality,manufacturing,six sigma,dmaic,design of experiments,anova,grr,msa,statistical quality control,sqc,statistical process control,spc,robust design,response surface design
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Manufacturing
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: ipython
Requires-Dist: pytest
Requires-Dist: markdown>=3.6
Requires-Dist: matplotlib>=3.10
Requires-Dist: mergedeep>=1.3
Requires-Dist: numpy>=2.2
Requires-Dist: openpyxl>=3.1
Requires-Dist: pandas>=2.2
Requires-Dist: probscale>=0.2
Requires-Dist: pydoe3>=1.0
Requires-Dist: scipy>=1.15
Requires-Dist: seaborn>=0.13
Requires-Dist: statsmodels>=0.14
Dynamic: license-file

MQR
---
This library is a python toolkit for manufacturing and design statistics.

Installation
------------
`pip install mqrpy`

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.

To build the documentation, further packages are needed that are not included with the pip installation:<br>
`sphinx`, `sphinx_rtd_theme`, `numpydoc`, `myst_nb`, and `pydata_sphinx_theme`.

License
-------
This package is provided under the BSD License (3-clause).

Credit
------
Copyright 2024-2025 Nikolas Crossan and Kevin Otto

Supported by the University of Melbourne<br>
Department of Mechanical Engineering
