# first20hours/google-10000-english

This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus.

Repository: https://github.com/first20hours/google-10000-english
Canonical: https://ross.abutalabs.com/products/google-10000-english
License: NOASSERTION
License Family: other
Last push: 2023-05-17T10:11:05+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5270, "days_push": 1204, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4464, forks 1940 (observed 2026-08-28T04:08:50.784456+00:00)

## What it is
A dataset of the 10,000 most common English words ranked by frequency, derived from n-gram frequency analysis of Google's Trillion Word Corpus. It includes variants such as swear-free lists and word-length-filtered lists.

## Use cases
- get a list of common English words for a word game
- build a password strength checker based on common words
- seed a text generator with frequent English vocabulary
- filter profanity from a word list for educational apps
- use frequency-ranked vocabulary for language learning tools
- validate user input against common English words

## When to choose
- you need a simple, frequency-ranked English word list
- you want a swear-free word list for family-friendly applications
- you need small vocabulary data for prototyping NLP or game features

## When to avoid
- you need up-to-date or domain-specific word frequencies
- you require a maintained project with support or updates
- you need full corpus statistics rather than a plain word list

## Facets
- artifact type: dataset
- maturity: abandoned
- function: nlp, data-generation
- domain: data-science
- platform: cross-platform
- tags: word-list, word-frequency, english-words, corpus, text-data, natural-language-processing

## Member repositories
- first20hours/google-10000-english (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:50.784456+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 2026-08-29T18:20:40.050243+00:00, confidence not recorded.
  - readme: https://github.com/first20hours/google-10000-english (fetched 2026-08-28T04:08:50.784456+00:00, sha 5d386b10c3e0)
- Data as of 2026-08-30T08:39:29.467469+00:00.