{"categories":[{"label":"Linguistic","url":"https://skillfed.io/packages/category/text-processing-linguistic/2"}],"enrichment":{"capability":"Performs Chinese word segmentation, breaking Chinese text into individual words or meaningful tokens for natural language processing tasks.","skillfed_tags":["chinese-nlp","abandoned"],"use_cases":["Tokenizing Chinese text for machine learning feature extraction or text classification pipelines","Preprocessing Chinese documents before feeding them into NLP models or search indexing systems","Building Chinese language text analysis tools where word boundaries must be identified","Legacy system maintenance where existing code depends on jieba3k's segmentation output"],"what_it_does":"jieba3k is a Chinese word segmentation library that tokenizes Chinese text into individual words or meaningful units. It is designed for natural language processing workflows where raw Chinese text must be split into analyzable tokens before further processing.\n\nThe package has been abandoned since late 2014 and receives no maintenance. It has no declared runtime dependencies and is distributed as a .zip file, creating installation friction on modern systems. Python version support is unspecified, and the license terms are unknown, raising compatibility and legal concerns for new projects.","worth_installing":"No. The package is abandoned (last release 2014-11-15), has unclear licensing, unspecified Python support, and high install friction. Modern Chinese NLP needs are better served by actively maintained alternatives. Install only if you are maintaining legacy code that already depends on it."},"id":"jieba3k","links":{"html":"https://skillfed.io/packages/jieba3k","md":"https://skillfed.io/packages/jieba3k.md","pypi":"https://pypi.org/project/jieba3k/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2014-11-15","license_spdx":null,"license_treatment":"unclear","name":"jieba3k","python_support":"unspecified","summary":"Chinese Words Segementation Utilities"},"popularity":{"monthly_downloads":465476,"position":6507,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.35.1"}