Citing scikit-plots#

If Matplotlib contributes to a project that leads to a scientific publication, please acknowledge this fact by citing [1]scikit-plots, “scikit-plots: v0.3.8dev0”. Zenodo, Ağu. 23, 2024. doi: 10.5281/zenodo.13367001..

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% CITATION.bib file for 
% This file provides citation information for users
% who want to cite the library, related papers, and books.
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@software{scikit-plots:vlatest,
  title   = {{ scikit-plots: Machine Learning Visualization in Python }},
  author  = { scikit-plots developers },
  month   = { 11 },
  year    = { 2024 },
  doi     = { 10.5281/zenodo.13367000 },
  url     = { https://scikit-plots.github.io },
  version = { latest },
  message = { Scikit-plot is the result of an unartistic data scientist's dreadful realization that visualization is one of the most crucial components in the data science process, not just a mere afterthought. },
}

DOIs#

The following DOI represents all scikit-plots versions. Please select a more specific DOI from the list below, referring to the version used for your publication.

latest
https://zenodo.org/badge/DOI/10.5281/zenodo.13367000.svg

Please cite this library using the following DOI by version:#

v0.4.0
https://zenodo.org/badge/DOI/10.5281/zenodo.13367001.svg
v0.3.7
https://zenodo.org/badge/DOI/10.5281/zenodo.591428.svg
v0.3.5
https://zenodo.org/badge/DOI/10.5281/zenodo.591428.svg