# fxsjy/jieba

结巴中文分词

Repository: https://github.com/fxsjy/jieba
Canonical: https://ross.abutalabs.com/products/jieba
Language: Python
License: MIT
License Family: permissive
Last push: 2024-08-21T09:23:45+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 5086, "days_push": 742, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 35130, forks 6686 (observed 2026-08-28T04:12:00.734900+00:00)

## What it is
Jieba is the most popular Python library for Chinese word segmentation, supporting precise, full, search-engine, and PaddlePaddle-based segmentation modes. It includes traditional Chinese support, custom dictionaries, part-of-speech tagging, and new word detection via an HMM model.

## Use cases
- segment chinese text into words in python
- tokenize chinese text for search engine indexing
- add custom domain words to a chinese tokenizer
- do part-of-speech tagging for chinese sentences
- split chinese text for text analysis
- handle traditional chinese text segmentation
- detect new or out-of-vocabulary words in chinese text

## When to choose
- you need reliable, battle-tested Chinese word segmentation in Python
- you want multiple segmentation modes including a search-engine-friendly mode
- you need custom dictionaries or traditional Chinese support
- you want a lightweight pure-Python solution with no heavy dependencies

## When to avoid
- you need segmentation for languages other than Chinese
- you need state-of-the-art neural segmentation and are willing to run larger deep learning models
- you need actively developed features - the project is largely in maintenance mode

## Facets
- artifact type: library
- maturity: maintenance
- function: nlp, parser, search-engine
- domain: localization
- platform: python, cross-platform
- tags: chinese-word-segmentation, text-segmentation, tokenization, traditional-chinese, custom-dictionary, hmm, natural-language-processing, search

## Member repositories
- fxsjy/jieba (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:00.734900+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 2026-08-29T16:27:10.139366+00:00, confidence not recorded.
  - readme: https://github.com/fxsjy/jieba (fetched 2026-08-28T04:12:00.734900+00:00, sha e66ae3a3402f)
  - registry_pypi: https://pypi.org/pypi/jieba/json (fetched 2026-08-29T07:48:03.005944+00:00, sha 67b4f069641b)
- Data as of 2026-08-30T08:39:29.467469+00:00.