Registry / data / krippendorff

krippendorff

library0.8.2pypypi✓ verified 85d ago

Fast computation of Krippendorff's alpha inter-rater reliability measure. Version 0.8.2 supports Python 3.10+. Released irregularly, with recent updates for NumPy v2 compatibility and Python version bumps.

data

pip install krippendorff

github ↗package ↗docs ↗changelog ↗

INSTALL

IMPORT

SIG · KRIPPENDORFF

krippendorff

datapythonv0.8.2

Install

3.5s avg

Import

256ms

Disk

89MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.8.2 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.252s · 89.4MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 3.5s · import 0.260s · 86MB

89MB installed

● package 89MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

alpha

✓ from krippendorff import alpha

✗ from krippendorff.alpha import alpha

alpha is a top-level function, not a submodule.

Compute Krippendorff's alpha for nominal data with missing values.

import numpy as np from krippendorff import alpha # Reliability data: 3 coders, 4 units, with a missing value (np.nan) reliability_data = np.array([ [1, 2, 3, np.nan], [1, 2, 3, 4], [2, 2, 3, 4] ]) result = alpha(reliability_data, level_of_measurement='nominal') print(f"Krippendorff's alpha: {result}")

Debug

Known issues

breakingPython 3.9 support dropped in v0.8.2; requires Python >=3.10.

fix

Upgrade Python to 3.10 or later.

affects: >=0.8.2

breakingNumPy v1 compatibility removed in v0.8.1; requires NumPy v2 or later.

fix

Upgrade NumPy to >=2.0.

affects: >=0.8.1

gotchaIf all units have fewer than 2 coders assigned, alpha raises a ValueError. Ensure your reliability data matrix has at least two coders per unit.

fix

Check that each column (unit) has at least two non-NaN entries.

affects: >=0.6.0

gotchaString dtype for reliability_data might cause unexpected behavior with missing values (NaNs) in older versions (<0.5.1). Fixed in 0.5.1.

fix

Upgrade to 0.5.1+ or use numeric dtypes.

affects: <0.5.1

Errors

Common errors & fixes

ModuleNotFoundError: No module named 'krippendorff'

Package not installed or installed under a different name (e.g., 'fast-krippendorff').

fix

Run: pip install krippendorff

ValueError: A single coder was provided (or all units have less than 2 coders).

Reliability data matrix has only one non-NaN entry per unit, or only one coder overall.

fix

Provide data from at least two coders; ensure each unit has annotations from at least two coders.

TypeError: 'numpy.float64' object is not iterable

Calling alpha on a 1D array instead of 2D (coders x units).

fix

Ensure the input is a 2D numpy array with shape (n_coders, n_units).

Upgrade

Version history

0.8.2latest on PyPI · released Nov 3, 2025

Audit

Dependencies

numpyrequiredCore dependency for array operations and distance functions.

Agent activity

3 hits · last 30 days

node