scattertext VS word_cloud

Compare scattertext vs word_cloud and see what are their differences.

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scattertext word_cloud
3 28
2,196 9,936
- -
4.7 6.8
about 1 month ago 3 months ago
Python Python
Apache License 2.0 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.

scattertext

Posts with mentions or reviews of scattertext. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-27.

word_cloud

Posts with mentions or reviews of word_cloud. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-14.

What are some alternatives?

When comparing scattertext and word_cloud you can also consider the following projects:

BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.

chat-replay-downloader - A simple tool used to retrieve chat messages from livestreams, videos, clips and past broadcasts. No authentication needed!

KeyBERT - Minimal keyword extraction with BERT

chat-miner - Parsers and visualizations for chats

stopwords-it - Italian stopwords collection

stretchly - The break time reminder app

shifterator - Interpretable data visualizations for understanding how texts differ at the word level

reddit_api - A python wrapper for the Reddit API. I originally created this repo, and have since transferred ownership to the praw-dev (PRAW: Python Reddit API Wrapper) organization to allow this project to continue to grow. This fork is here to preserve old links, please head to the praw-dev/praw repo for the latest code.

lit - The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

Analyzing_world_cuisines - In this repository I share my end-to-end project. Scraping data, analyzing data, fitting a model, evaluating a model.

yake - Single-document unsupervised keyword extraction

DevCommunity - Repository for DEV Comunity projects