textstat VS pytextrank

Compare textstat vs pytextrank and see what are their differences.

textstat

:memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles. (by textstat)
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textstat pytextrank
2 2
1,254 2,171
6.3% 0.2%
8.6 4.7
16 days ago 8 months ago
Python Python
MIT License 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.

textstat

Posts with mentions or reviews of textstat. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-15.

pytextrank

Posts with mentions or reviews of pytextrank. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-15.

What are some alternatives?

When comparing textstat and pytextrank you can also consider the following projects:

pke - Python Keyphrase Extraction module

turing - :sparkles: :dna: Turing ES - Enterprise Search, Semantic Navigation, Chatbot using Search Engine and Generative AI.

retext-readability - plugin to check readability

Text-Summarization-using-NLP - Text Summarization using NLP to fetch BBC News Article and summarize its text and also it includes custom article Summarization

kindleServer - This project serve HTML files (and a few more) saved in your computer with a UI suitable for Kindle web browser. On top of that, it include a Read Mode (thanks to ReadabiliPy) to display the text in a comfortable size without have to use the 'Article Mode' in Kindle web browser.

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Did you know that Python is
the 2nd most popular programming language
based on number of references?