{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/7"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/9"},{"label":"Text Processing","url":"https://skillfed.io/packages/category/text-processing/3"},{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"},{"label":"Linguistic","url":"https://skillfed.io/packages/category/text-processing-linguistic/2"},{"label":"General","url":"https://skillfed.io/packages/category/text-processing-general"},{"label":"Filters","url":"https://skillfed.io/packages/category/text-processing-filters"}],"enrichment":{"capability":"KoNLPy provides Korean natural language processing tools including tokenization, part-of-speech tagging, and linguistic feature extraction by wrapping multiple Korean NLP engines.","skillfed_tags":["korean-nlp","abandoned","copyleft-license"],"use_cases":["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."],"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\u2014operations 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.\n\nThe 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.","worth_installing":"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."},"id":"konlpy","links":{"html":"https://skillfed.io/packages/konlpy","md":"https://skillfed.io/packages/konlpy.md","pypi":"https://pypi.org/project/konlpy/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2022-01-02","license_spdx":null,"license_treatment":"copyleft","name":"konlpy","python_support":"unspecified","summary":"Python package for Korean natural language processing."},"popularity":{"monthly_downloads":134754,"position":11462,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.6.0"}