stanfordnlp VS textacy

Compare stanfordnlp vs textacy and see what are their differences.

stanfordnlp

[Deprecated] This library has been renamed to "Stanza". Latest development at: https://github.com/stanfordnlp/stanza (by stanfordnlp)
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stanfordnlp textacy
- 1
111 2,173
0.9% 0.3%
3.2 6.1
8 months ago 7 months ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.

stanfordnlp

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

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

textacy

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

What are some alternatives?

When comparing stanfordnlp and textacy you can also consider the following projects:

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

pytext - A natural language modeling framework based on PyTorch

NLTK - NLTK Source

langid.py - Stand-alone language identification system

Jieba - 结巴中文分词

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

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

SnowNLP - Python library for processing Chinese text

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