pytext VS Jieba

Compare pytext vs Jieba and see what are their differences.

pytext

A natural language modeling framework based on PyTorch (by facebookresearch)
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pytext Jieba
- 8
6,354 33,641
- 0.3%
7.8 0.0
over 2 years ago 6 months ago
Python Python
BSD 3-clause "New" or "Revised" License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pytext

Posts with mentions or reviews of pytext. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning pytext yet.
Tracking mentions began in Dec 2020.

Jieba

Posts with mentions or reviews of Jieba. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-02-04.

What are some alternatives?

When comparing pytext and Jieba you can also consider the following projects:

Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

stanfordnlp - [Deprecated] This library has been renamed to "Stanza". Latest development at: https://github.com/stanfordnlp/stanza

SnowNLP - Python library for processing Chinese text

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

pkuseg-python - pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

NLTK - NLTK Source

Pattern - Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

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Did you know that Python is
the 2nd most popular programming language
based on number of references?