{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/6"},{"label":"Linguistic","url":"https://skillfed.io/packages/category/text-processing-linguistic/2"}],"enrichment":{"capability":"Kiwipiepy tokenizes and analyzes Korean text into morphemes with part-of-speech tags, sentence splitting, and user dictionary management.","skillfed_tags":["korean-nlp","morphological-analysis","text-processing"],"use_cases":["Tokenize Korean documents for natural language processing pipelines and text classification","Extract morphemes and part-of-speech tags for linguistic analysis or corpus studies","Split multi-sentence Korean text into individual sentences for batch processing","Filter stopwords from Korean text before downstream NLP tasks like topic modeling","Add domain-specific terminology to the analyzer via user dictionary for improved accuracy on specialized corpora"],"what_it_does":"Kiwipiepy is a Python binding for Kiwi, a Korean morphological analyzer that breaks Korean text into morphemes (smallest meaningful units) and assigns part-of-speech tags based on the Sejong Corpus tagset. It provides tokenization, sentence splitting, stopword filtering, and user dictionary management for customizing analysis on domain-specific vocabulary.\n\nThe package ships with prebuilt wheels for modern Python versions (3.9+) on common platforms, reducing installation friction for most users. It depends on numpy, tqdm, and a model data package (kiwipiepy_model) that is automatically installed. The library is actively maintained and supports interactive testing via command-line interface, making it accessible for quick experimentation with Korean text analysis.","worth_installing":"Yes, if you need Korean morphological analysis. The package is actively maintained, has no known vulnerabilities, and offers prebuilt wheels for common platforms. LGPL v3 licensing requires careful review for proprietary use. Medium install friction is acceptable given the compiled nature of the underlying C++ library. Suitable for both research and production Korean NLP pipelines."},"id":"kiwipiepy","links":{"html":"https://skillfed.io/packages/kiwipiepy","md":"https://skillfed.io/packages/kiwipiepy.md","pypi":"https://pypi.org/project/kiwipiepy/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-11","license_spdx":null,"license_treatment":"copyleft","name":"kiwipiepy","python_support":"unspecified","summary":"Kiwi, the Korean Tokenizer for Python"},"popularity":{"monthly_downloads":346086,"position":7359,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.23.2"}