INESCTEC/yake
Single-document unsupervised keyword extraction 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
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
- readme: https://github.com/INESCTEC/yake · fetched 2026-08-28 · 68d549ebc20d
- homepage: https://inesctec.github.io/yake · fetched 2026-08-29 · 98c93b119921
- site_page: https://oss.inesctec.pt/yake/docs/-getting-started · fetched 2026-08-29 · e8897bff0a27
- site_page: https://oss.inesctec.pt/yake/docs/--home · fetched 2026-08-29 · 866ed97925e6
- registry_pypi: https://pypi.org/pypi/yake/json · fetched 2026-08-29 · 28ad0597bb7a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| INESCTEC/yake | main | 63 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem