anime_wordclouds VS TextBlob

Compare anime_wordclouds vs TextBlob and see what are their differences.

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anime_wordclouds TextBlob
2 4
9 9,144
- -
4.2 7.4
over 1 year ago 1 day ago
Python Python
- 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.

anime_wordclouds

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

TextBlob

Posts with mentions or reviews of TextBlob. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-10.

What are some alternatives?

When comparing anime_wordclouds and TextBlob you can also consider the following projects:

practice_python_projects - Book on basic to intermediate level Python projects

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

subreddit-analyzer - A comprehensive Data and Text Mining workflow for submissions and comments from any given public subreddit.

NLTK - NLTK Source

custom-subs - Anime Subs

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

cltk - The Classical Language Toolkit

polyglot - Multilingual text (NLP) processing toolkit

rake-nltk - Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.

Jieba - 结巴中文分词

chat-miner - Parsers and visualizations for chats

textacy - NLP, before and after spaCy

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CodeRabbit: AI Code Reviews for Developers
Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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