pystylometry
Stylometric analysis and authorship attribution for Python. 50+ metrics across 11 modules, from vocabulary diversity to AI-generation detection.
Install
pip install pystylometry # Core (lexical metrics)
pip install pystylometry[all] # Everything
Modules
| Module | Metrics | Description |
|---|---|---|
| lexical | TTR, MTLD, Yule's K/I, Hapax, MATTR, VocD-D, HD-D, MSTTR, function words, word frequency | Vocabulary diversity and richness |
| readability | Flesch, Flesch-Kincaid, SMOG, Gunning Fog, Coleman-Liau, ARI, Dale-Chall, Fry, FORCAST, Linsear Write, Powers-Sumner-Kearl | Grade-level and difficulty scoring |
| syntactic | POS ratios, sentence types, parse tree depth, clausal density, passive voice, T-units, dependency distance | Sentence and parse structure (requires spaCy) |
| authorship | Burrows' Delta, Cosine Delta, Zeta, Kilgarriff chi-squared, MinMax, John's Delta, NCD | Author attribution and text comparison |
| stylistic | Contractions, hedges, intensifiers, modals, punctuation, vocabulary overlap (Jaccard/Dice/Cosine/KL), cohesion, genre/register | Style markers and text similarity |
| character | Letter frequencies, digit/uppercase ratios, special characters, whitespace | Character-level fingerprinting |
| ngrams | Word/character/POS n-grams, Shannon entropy, skipgrams | N-gram profiles and entropy |
| dialect | British/American classification, spelling/grammar/vocabulary markers, markedness | Regional dialect detection |
| consistency | Sliding-window chi-squared drift, pattern classification | Intra-document style analysis |
| prosody | Syllable stress, rhythm regularity | Prose rhythm (requires spaCy) |
| viz | Timeline, scatter, report (PNG + interactive HTML) | Drift detection visualization |
Development
git clone https://github.com/craigtrim/pystylometry && cd pystylometry
pip install -e ".[dev,all]"
make test # 1022 tests
make lint # ruff + mypy
make all # lint + test + build
License
MIT
Author
Craig Trim -- craigtrim@gmail.com
1 maintainer
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