About

Inspirations

fleur is highly inspired by the following projects:

• ggstatsplot: an R package that extends ggplot2 to add statistical details to plots.
• seaborn: the famous high-level interface of matplotlib for statistical data visualization.
• statannotations: a seaborn extension that adds statistical annotations.

fleur aims to provide some differences:

• being both super easy to use (automatically detect which test to use and make nice plots by default, for instance), while letting you control over everything.
• being more lightweight: it only relies on matplotlib (for dataviz), scipy (for stats) and narwhals (for data handling).
• provides an extensive documentation in each reference page, especially about statistics.