thinc VS textacy

Compare thinc vs textacy and see what are their differences.

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thinc textacy
4 1
2,790 2,172
0.6% 0.6%
6.9 6.1
8 days ago 7 months ago
Python Python
MIT License 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.

thinc

Posts with mentions or reviews of thinc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-28.

textacy

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

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

What are some alternatives?

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

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

NLTK - NLTK Source

Jieba - 结巴中文分词

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

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

SnowNLP - Python library for processing Chinese text

TextGrocery - A simple short-text classification tool based on LibLinear

IEPY - Information Extraction in Python

Lineflow - :zap:A Lightweight NLP Data Loader for All Deep Learning Frameworks in Python

langid.py - Stand-alone language identification system

simplemma - Simple multilingual lemmatizer for Python, especially useful for speed and efficiency

pntl - Practical Natural Language Processing Tools for Humans is build on the top of Senna Natural Language Processing (NLP) predictions: part-of-speech (POS) tags, chunking (CHK), name entity recognition (NER), semantic role labeling (SRL) and syntactic parsing (PSG) with skip-gram all in Python and still more features will be added. The website give is for downlarding Senna tool