# rspeer/wordfreq

Access a database of word frequencies, in various natural languages.

Repository: https://github.com/rspeer/wordfreq
Canonical: https://ross.abutalabs.com/products/wordfreq
Language: Python
License: NOASSERTION
License Family: other
Last push: 2025-01-04T20:59:31+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4692, "days_push": 606, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1732, forks 116 (observed 2026-08-28T04:05:28.849599+00:00)

## What it is
wordfreq is a Python library that provides word frequency data for over 40 languages, drawn from multiple corpus sources. It offers functions to look up word frequencies as decimals or on a human-friendly Zipf logarithmic scale.

## Use cases
- look up how frequently a word appears in English or another language
- get Zipf frequency scores for vocabulary words
- filter common vs rare words when building a language learning app
- score candidate keywords by frequency for NLP preprocessing
- compare word usage across multiple languages
- build a word game difficulty ranking based on word commonness

## When to choose
- you need multilingual word frequency estimates in Python
- you want a simple API returning frequencies or Zipf values
- you need both small memory-efficient and large comprehensive wordlists
- you need CJK language frequency support with optional tokenizers

## When to avoid
- you need up-to-date frequency data reflecting current language usage
- you need frequencies for languages beyond the 40+ supported ones
- you need real-time or streaming corpus analysis rather than a static snapshot
- you need a non-Python runtime

## Facets
- artifact type: library
- maturity: maintenance
- function: nlp, search-engine
- domain: -
- platform: python, cross-platform
- tags: word-frequency, corpus-data, zipf-scale, multilingual, tokenization, natural-language-processing, linguistics

## Member repositories
- rspeer/wordfreq (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:28.849599+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 2026-08-30T03:31:31.435725+00:00, confidence not recorded.
  - readme: https://github.com/rspeer/wordfreq (fetched 2026-08-28T04:05:28.849599+00:00, sha bee067a3c235)
  - registry_pypi: https://pypi.org/pypi/wordfreq/json (fetched 2026-08-29T11:08:23.424530+00:00, sha 2fc05a37473d)
- Data as of 2026-08-30T08:39:29.467469+00:00.