# dongrixinyu/JioNLP

中文 NLP 预处理、解析工具包，准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package www.jionlp.com

Repository: https://github.com/dongrixinyu/JioNLP
Canonical: https://ross.abutalabs.com/products/jionlp
Homepage: https://www.jionlp.com/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: nlp, natural-language-processing, python, apache2, chinese, time-parse, preprocessing, time-parsing, ai, llm
Last push: 2026-07-29T14:04:05+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 35, longevity 100
- inputs: {"age_days": 2364, "days_push": 35, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3864, forks 441 (observed 2026-08-28T04:08:27.619643+00:00)

## What it is
JioNLP is a Python library for Chinese NLP preprocessing and parsing, offering utilities like time semantic parsing, license plate parsing, text cleaning, and NLP task helpers. It aims to be accurate, efficient, and easy to use for NLP developers.

## Use cases
- parse Chinese time expressions into structured dates
- clean and preprocess Chinese text for NLP pipelines
- extract entities and parse Chinese text patterns
- evaluate large language models automatically with MELLM
- convert Chinese numbers, currency, and units to structured values
- parse Chinese license plate numbers

## When to choose
- building Chinese NLP pipelines that need robust preprocessing utilities
- you need accurate Chinese time expression parsing
- you want a lightweight pip-installable toolkit for Chinese text normalization

## When to avoid
- you need deep learning NLP models rather than rule-based utilities
- your project processes only English or non-Chinese text
- you need a full end-to-end NLP framework with model training

## Facets
- artifact type: library
- maturity: active
- function: nlp, parser, data-generation, developer-tools
- domain: developer-tools, artificial-intelligence
- platform: python, cross-platform
- tags: chinese-nlp, text-preprocessing, time-parsing, ner, pinyin, llm-evaluation, natural-language-processing

## Member repositories
- dongrixinyu/JioNLP (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:27.619643+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 2026-08-29T18:25:52.366362+00:00, confidence not recorded.
  - readme: https://github.com/dongrixinyu/JioNLP (fetched 2026-08-28T04:08:27.619643+00:00, sha c924ff7b4203)
  - homepage: https://www.jionlp.com/ (fetched 2026-08-29T09:20:15.239950+00:00, sha 89cf22db714a)
  - registry_pypi: https://pypi.org/pypi/jionlp/json (fetched 2026-08-29T09:20:15.248721+00:00, sha 6c7464c2223d)
- Data as of 2026-08-30T08:39:29.467469+00:00.