konlpy
Python package for Korean natural language processing.
Decision gist · record as of 2026-08-14
No, unless you are maintaining legacy code already using konlpy. The package is abandoned (last release 2022-01-02) with no active maintenance, making it unsuitable for new projects. GPL v3 copyleft licensing also restricts use in proprietary software. For new Korean NLP work, seek actively maintained alternatives.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires JPype1 to bridge Python and Java-based Korean NLP engines; Java installation may be needed depending on the underlying engine used.
- Installation is straightforward with low friction, but the package is abandoned—last release was 2022-01-02, over 1685 days ago.
- No active maintenance or updates are expected.
License · maintenance · safety
GPL v3 (copyleft) — Licensed under GPL v3 (copyleft). Any derivative work or distribution must also be open-source under GPL v3 terms; proprietary projects cannot use this package without releasing their own code.
last release 2022-01-02 (1685 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 134,754 downloads/mo, #11,462 on PyPI
Alternatives
Verify before relying
pip install konlpy
from konlpy.tag import Kkma
kkma = Kkma()
kkma.sentences('한글 문장입니다.')- Whether the package's underlying Korean NLP engines remain functional and compatible with current Python and Java versions.
- Current compatibility with Python versions beyond 2.7 and 3.6 (requires_python is unspecified).
- Whether numpy, lxml, and JPype1 dependencies have known incompatibilities with modern environments.
What it is and what it does
KoNLPy is a Python wrapper around multiple Korean natural language processing engines, unifying several research-built tools into a single interface. It handles Korean-specific tasks like tokenization, part-of-speech tagging, and morphological analysis—operations that require understanding Korean's complex grammar and character system. The package depends on JPype1 to call Java-based engines, lxml for XML processing, and numpy for numerical operations.
The project is abandoned: the last release was in January 2022, and there is no active maintenance. Users should expect no bug fixes, security updates, or compatibility work for newer Python or dependency versions. It remains useful for legacy systems or research projects already committed to its ecosystem, but new projects should evaluate actively maintained alternatives.
Use it for
- Tokenize and analyze Korean text in legacy data-processing pipelines already built around konlpy.
- Perform part-of-speech tagging on Korean documents for linguistic research or historical NLP projects.
- Extract morphological features from Korean text in educational contexts studying computational linguistics.
- Preprocess Korean text for machine learning models in projects that cannot migrate to newer libraries.
- Analyze Korean social media or news text in systems where konlpy's specific engines are already integrated.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No, unless you are maintaining legacy code already using konlpy.
The package is abandoned (last release 2022-01-02) with no active maintenance, making it unsuitable for new projects. GPL v3 copyleft licensing also restricts use in proprietary software. For new Korean NLP work, seek actively maintained alternatives.
Install
konlpy on PyPI
Before you install
Installation is straightforward with low friction, but the package is abandoned—last release was 2022-01-02, over 1685 days ago. No active maintenance or updates are expected.
Requires JPype1 to bridge Python and Java-based Korean NLP engines; Java installation may be needed depending on the underlying engine used.
License in practice
Licensed under GPL v3 (copyleft). Any derivative work or distribution must also be open-source under GPL v3 terms; proprietary projects cannot use this package without releasing their own code.
Quickstart
pip install konlpy
from konlpy.tag import Kkma
kkma = Kkma()
kkma.sentences('한글 문장입니다.')Verify before relying
- Whether the package's underlying Korean NLP engines remain functional and compatible with current Python and Java versions.
- Current compatibility with Python versions beyond 2.7 and 3.6 (requires_python is unspecified).
- Whether numpy, lxml, and JPype1 dependencies have known incompatibilities with modern environments.
Package facts
| License | GPL v3 copyleft |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesJPype1lxmlnumpy |
| Maintenance | Abandoned 1,685 days since the last release |
| First released | |
| Downloads | 134,754 / month, #11,462 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Information TechnologyIntended Audience :: Science/ResearchLicense :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)Programming Language :: Python :: 2.7Programming Language :: Python :: 3.6Topic :: Scientific/EngineeringTopic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Scientific/Engineering :: Information AnalysisTopic :: Text ProcessingTopic :: Text Processing :: FiltersTopic :: Text Processing :: GeneralTopic :: Text Processing :: Linguistic |
Evidence: konlpy-0.6.0-py2.py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “korean language nlp”
- konlpyKoNLPy provides Korean natural language processing tools including…
- ko-speech-toolsProvides Korean language processing tools including Hangul…
- kiwipiepy-modelProvides pre-trained morphological analysis models for Korean text…
Give your agent the search over MCP, or paste the wish link into any chat.
More Scientific/Engineering packages
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
pandas provides fast, flexible data structures (Series and DataFrame) for loading, cleaning, transforming, and analyzing labeled or relational data in Python.
scipy provides numerical algorithms for mathematics, science, and engineering—including optimization, integration, linear algebra, Fourier transforms, signal and image processing, and ODE solvers—built on numpy arrays.
scikit-learn provides a comprehensive Python library for supervised and unsupervised machine learning, including classification, regression, clustering, dimensionality reduction, and model evaluation tools built on NumPy and SciPy.
Install it if you need to train, evaluate, or deploy supervised or unsupervised learning models.
dill extends Python's pickle module to serialize and deserialize a much wider range of Python objects, including functions, lambdas, classes, and interpreter sessions, to byte streams for storage or network transmission.
Multiprocess is an enhanced fork of Python's standard multiprocessing library that uses dill for better serialization, allowing you to spawn processes with a threading-like API and share complex objects between them.
Install it if you use multiprocessing and encounter pickle serialization limits with lambdas or complex objects.
See also nltk · polyglot · mecab-ko · python-mecab-ko · pynini · mecab-ko-dic · pythainlp · kiwipiepy-model · soynlp · kiwipiepy