Beautiful visualizations of how language differs among document types.
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Updated
Jul 4, 2026 - Python
Beautiful visualizations of how language differs among document types.
AI-writing humanizer for KO/EN/ZH/JA
The Java Graphical Authorship Attribution Program
A local detector for AI-writing patterns. Scores every prose file your agent saves. Python standard library only, no network, no model.
Collected solutions from Google Code Jam programming competition (2008-2021).
Stylometry library for Burrows' Delta method
AI humanizer skill for Claude Code, Codex and Cursor. Removes AI slop and the signs of AI writing, then measures the rewrite against human baselines.
Stylometric Data Mining Library with a focus on identifying Satoshi Nakamoto as a case study.
Data and code for Kang et al., EMNLP 2019's paper titled "(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas"
Ghost Writer — AI Content Engine with 40-point QA, 18 platform formatters, and triple-detector validation. Built on Ghost Protocol. Passes GPTZero, Pangram, and Originality.ai.
Measures how you write and builds a voice profile, then enforces it with a deterministic checker: em dashes, filler, hedges, and AI tells are caught by code, not by asking the model to be careful. Multiple named voices, eval harness with golden tests, no dependencies.
Interpretable stylometric profiling + author-style transfer built on explicit and LLM-genenated JSON fingerprints and local measurements. Fingerprint your corpus, inspect/visualize signals, then LLM-generate stylistically similar text with meaning preserved, deterministic post-processing, normalization controls, and deviation reports. CLI + API.
Source code embeddings for various programming languages
Measure how closely writing matches a learned author's style. Japanese & English, local-first CLI for LLMs and humans.
Python package to deal with PAN corpora and extract stylometric features from text documents.
A command-line tool for masking authorship of text, by changing the writing style with a Large Language Model.
Скилл для ИИ-агентов и CLI на TypeScript/Bun: находит и убирает ИИ-стиль в русских текстах (канцелярит, кальки, штампы), проверяет сохранность правки и оценивает текст по фрагментам в духе «Антиплагиата» с калибровкой по вашим отчётам. Русская адаптация avoid-ai-writing.
QuitaUp: A tool for quantitative stylometric analysis
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