fleur: combining statistics with visualization

With fleur (pronounced “flur”), statistics and data visualization are done at the same time. It’s meant as a modern tool for highly detailed statistical annotations in plots with high customization capabilities.

It’s lightweight in the sense that it only requires foundational libraries: matplotlib, scipy and narwhals. Learn more about fleur.

[!WARNING] fleur is still in a very early stage: expect regular breaking changes.

Documentation website

Quick start

Group comparison

from fleur import BetweenStats
from fleur import data

df = data.load_iris()

BetweenStats(df["sepal_length"], df["species"]).plot()

Correlation

from fleur import ScatterStats
from fleur import data

df = data.load_iris()

ScatterStats(df["sepal_length"], df["sepal_width"]).plot()

Installation

pip install fleur