pln-fing-udelar/fast-krippendorff

Evalica, your favourite evaluation toolkit

Statistical inference for AI evaluations, from model comparisons to corrections for LLM judge bias, optimized for small sample sizes. All defaults battle-tested in Monte Carlo simulations.

🐉 Compute and work with indices of effect size and standardized parameters

A concise syntax to describe and execute routine data analysis tasks

relplot: Utilities for measuring calibration and plotting reliability diagrams

An AI research analyst that knows when to trust itself — a calibrated, risk-controlled, tool-using agent for science.

Distance correlation and related E-statistics in Python

Developing tools to automatically analyze datasets

The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.