Metadata-Version: 2.4
Name: iaa-kit
Version: 0.1.1
Summary: Modern inter-annotator agreement metrics with bootstrap confidence intervals.
Author: AuraOne
License-Expression: MIT
Project-URL: Homepage, https://auraone.ai/open
Project-URL: Source, https://github.com/auraoneai/iaa-kit
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.23
Dynamic: license-file

# iaa-kit

`iaa-kit` is a pure-NumPy inter-annotator agreement library with Krippendorff alpha, Cohen kappa, weighted kappa, Fleiss kappa, Gwet AC1/AC2, bootstrap confidence intervals, missing-data handling, and synthetic-report generation.

## Quickstart

```bash
python -m venv .venv
. .venv/bin/activate
pip install iaa-kit
python -c "from iaa_kit import krippendorff_alpha; print(krippendorff_alpha([[1,1,2],[2,2,2]], scale='ordinal'))"
```

## What This Is Not

This is not a human-label vendor, benchmark, or source of real annotations. Examples are synthetic.
