Statys

Statys provides Friedman and Iman-Davenport statistics, Nemenyi critical differences, and critical-difference diagrams for comparing treatments or algorithms across repeated experimental blocks.

Statys requires Python 3.11 or newer.

Installation

pip install statys

Example

import numpy as np

from statys import friedman, nemenyi, plot_critical_difference

scores = np.array(
    [
        [0.82, 0.79, 0.75],
        [0.80, 0.77, 0.78],
        [0.84, 0.81, 0.76],
        [0.79, 0.75, 0.74],
    ]
)

print(friedman(scores))
ranks, critical_difference = nemenyi(scores)
plot_critical_difference(
    ranks,
    critical_difference,
    labels=["Model A", "Model B", "Model C"],
    output="critical-difference.pdf",
)

Rows are experimental blocks and columns are the treatments being compared.

Development

uv sync
uv run pytest
uv run pre-commit run --all-files
uv build

Documentation is available at statys.readthedocs.io.