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INESCTEC/yake

Single-document unsupervised keyword extraction observed · 2026-08-28

github.com/INESCTEC/yake · homepage · Jupyter Notebook · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

63/100

  • Activity 67
  • Release rhythm 37
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 224
  • age_days: 2847
  • days_rel: 205
  • days_push: 203
  • n_releases_24m: 2

Full methodology

Adoption not part of the score

1877 stars · 247 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

YAKE! is a lightweight unsupervised keyword extraction library that ranks the most important keywords of a single document using text statistical features. It requires no training data, corpora, or dictionaries, and supports 25+ languages via a Python API and a command-line interface.

Use cases

  • extract keywords from a single document
  • get keyphrases from text without training data
  • multilingual keyword extraction
  • find top n-grams in an article
  • tag documents automatically with keywords
  • extract keywords from a text file from the command line

When to choose

  • you need corpus- and dictionary-free keyword extraction that works out of the box
  • you process single documents in many languages or domains
  • you want a lightweight, fast statistical method rather than a heavy ML model

When to avoid

  • you need state-of-the-art semantic keyphrase extraction from large trained models
  • you need topic modeling or keyword extraction across an entire corpus
  • you require a license other than LGPLv3

Facets

library · maturity stable

nlp parser machine-learning developer-tools python cli cross-platform keyword-extraction unsupervised multilingual single-document keyphrase-extraction natural-language-processing

5 sources

Member repositories

RepositoryRoleHealth v2
INESCTEC/yakemain63

For agents

markdown · JSON · MCP: product_card(name="INESCTEC/yake")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem