Open Source Radar
JioNLP provides a Python library for Chinese NLP preprocessing and parsing, with many utilities and dictionaries. Latest activity shows ongoing maintenance as of 2026-07-29.
3.9kstars
442forks
42issues
Apache-2.0license
2020since
Star historydaily snapshots by VibeCrowd
Collecting history — the radar snapshots this repo daily. The trend line appears after 3 days of data (1 so far).
Alternatives & relatedmatched by topic overlap
Reviewgenerated from repository data · Aug 5, 2026
What it is
JioNLP is a Python library for Chinese NLP preprocessing and parsing, offering a collection of tools for text cleaning, time parsing, tokenization helpers, and various named utilities and dictionaries.
How it works
The repository documents a modular toolkit with functions for:
- time semantics parsing, location/entity extraction, string normalization, and regex-based parsing.
- loading and using dictionaries (stopwords, location names, idioms, etc.).
- utility modules for file I/O, timing, and logging. The README enumerates a wide set of functions organized by capability (Gadgets, data augmentation, regex extraction, dictionaries, NER support, text classification, sentiment analysis, and segmentation).
Getting started
Installation:
$ pip install jionlp
Basic usage snippet:
>>> import jionlp as jio
>>> print(jio.__version__) # 查看 jionlp 的版本
>>> dir(jio)
>>> print(jio.extract_parentheses.__doc__)
Recent releases
- RELEASES (latest 0): none (Note: The README lists version badge 1.5.29 in the header, but there are no tagged releases in the provided section.)
Traction
- 3860 stars
- 442 forks
- 42 open issues
Behind the repo
- Authorized maintainer is the author listed as dongrixinyu; no external startup/company link provided in the README excerpt.
Caveats
- License: Apache-2.0
- Created: 2020-03-13
- Last push: 2026-07-29
- Language: Python
- Size badge indicates 15.6m
- Installation and usage commands are as shown above; the README also references multiple wiki links and example code blocks for various features.






