polyglot VS langid.py

Compare polyglot vs langid.py and see what are their differences.

polyglot

Multilingual text (NLP) processing toolkit (by aboSamoor)

langid.py

Stand-alone language identification system (by saffsd)
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polyglot langid.py
1 2
2,261 2,242
- -
0.0 0.0
6 months ago over 4 years ago
Python Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" 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.

polyglot

Posts with mentions or reviews of polyglot. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-25.

langid.py

Posts with mentions or reviews of langid.py. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-22.

What are some alternatives?

When comparing polyglot and langid.py you can also consider the following projects:

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

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

NLTK - NLTK Source

py3langid - Faster, modernized fork of the language identification tool langid.py

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

Jieba - 结巴中文分词

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

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