# LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words

List of Dirty, Naughty, Obscene, and Otherwise Bad Words

Repository: https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words
Canonical: https://ross.abutalabs.com/products/list-of-dirty-naughty-obscene-and-otherwise-bad-words
License: CC-BY-4.0
License Family: other
Last push: 2024-08-05T08:32:35+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5291, "days_push": 758, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3431, forks 698 (observed 2026-08-28T04:08:04.055601+00:00)

## What it is
A multilingual list of profane and obscene words maintained by Shutterstock, used to filter autocomplete suggestions and recommendations. It covers 28 languages and is available as plain text files or an npm package.

## Use cases
- filter profanity from user-generated content
- block bad words in search autocomplete
- moderate usernames and comments
- add a swear word filter to a chat app
- find a multilingual list of dirty words
- prevent offensive suggestions in a recommendation engine

## When to choose
- you need a simple, community-maintained profanity blocklist in many languages
- you want a lightweight word list rather than a full moderation service

## When to avoid
- you need context-aware or ML-based toxicity detection rather than exact word matching
- you require guaranteed accuracy or legal-grade moderation

## Facets
- artifact type: dataset
- maturity: active
- function: nlp, data-generation, search-engine
- domain: -
- platform: cross-platform
- tags: profanity-filter, word-list, content-moderation, multilingual, blocklist, natural-language-processing, localization, nodejs

## Member repositories
- LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:04.055601+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:37:46.112238+00:00, confidence not recorded.
  - readme: https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words (fetched 2026-08-28T04:08:04.055601+00:00, sha cd9b2277f64e)
- Data as of 2026-08-30T08:39:29.467469+00:00.