Plug and play statistical process control functions for Python

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for waterboy96 from gravatar.com waterboy96

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT License

Author: Henrik Hviid Hansen, Sebastian Olivier Nymann Topalian, Davide Cacciarelli

Requires: Python >=3.7

Classifiers

Project description

Python package based on work from 3 PhD projects at the Technical University of Denmark covering multivariate statistical process control (MSPC), autoencoders for MSPC and determination of delays for dynamic principal component analysis

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for waterboy96 from gravatar.com waterboy96

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT License

Author: Henrik Hviid Hansen, Sebastian Olivier Nymann Topalian, Davide Cacciarelli

Requires: Python >=3.7

Classifiers

Release history Release notifications | RSS feed

1.0.17

1.0.16

1.0.15

1.0.14

1.0.13

1.0.12

1.0.11

1.0.10

1.0.9

1.0.8

This version

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mvSPC-1.0.6.tar.gz (23.5 kB view hashes)

Uploaded Source

Built Distribution

mvSPC-1.0.6-py3-none-any.whl (26.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page