# konlpy/konlpy

Python package for Korean natural language processing.

Repository: https://github.com/konlpy/konlpy
Canonical: https://ross.abutalabs.com/products/konlpy
Homepage: http://konlpy.org
Language: Python
License: NOASSERTION
License Family: other
Topics: python, nlp, text-mining, korean, morphology, korean-nlp, hacktoberfest
Last push: 2023-08-28T00:08:46+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": 4507, "days_push": 1102, "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 1491, forks 325 (observed 2026-08-28T04:04:52.457433+00:00)

## What it is
KoNLPy is a Python package for Korean natural language processing, providing wrappers around Korean morphological analyzers like Mecab, Hannanum, Kkma, and Twitter. It supports tokenization, POS tagging, and text mining tasks for the Korean language.

## Use cases
- tokenize korean text into morphemes
- part-of-speech tagging for korean sentences
- extract nouns from korean documents
- analyze korean morphology in python
- preprocess korean text for machine learning
- count word frequencies in korean corpus

## When to choose
- you need korean-specific morphological analysis in python
- you want access to multiple korean analyzers through one unified API
- you are doing korean text mining or NLP research

## When to avoid
- you need NLP for languages other than korean
- you need deep learning based korean models rather than rule/statistical morphological analyzers
- you need a actively developed project with frequent releases

## Facets
- artifact type: library
- maturity: maintenance
- function: nlp, parser
- domain: -
- platform: python
- tags: korean-nlp, morphological-analysis, tokenization, text-mining, natural-language-processing, korean

## Member repositories
- konlpy/konlpy (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:52.457433+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 2026-08-30T04:33:34.976222+00:00, confidence not recorded.
  - readme: https://github.com/konlpy/konlpy (fetched 2026-08-28T04:04:52.457433+00:00, sha 296606febb0f)
- Data as of 2026-08-30T08:39:29.467469+00:00.