https://github.com/riverrun/drat
Reading text analysis tool written in Python
https://github.com/riverrun/drat
Last synced: about 1 year ago
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Reading text analysis tool written in Python
- Host: GitHub
- URL: https://github.com/riverrun/drat
- Owner: riverrun
- License: gpl-3.0
- Created: 2014-01-08T13:29:15.000Z (over 12 years ago)
- Default Branch: master
- Last Pushed: 2019-07-03T09:38:36.000Z (almost 7 years ago)
- Last Synced: 2025-04-09T18:13:05.285Z (about 1 year ago)
- Language: Python
- Homepage:
- Size: 225 KB
- Stars: 7
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
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README
Drat
====
Text (readability) analysis tool written in Python.
Features
~~~~~~~~
Drat is a tool that analyzes reading texts and produces a brief report
which provides the following information:
- the Dale-Chall readability score.
- the Coleman-Liau Readability Index.
- the number of uncommon words (based on the General Service List).
- a list of all of these uncommon words (if you choose the verbose option).
Drat supports **docx**, **odt**, **ods**, **odp** files as well as text
files and urls.
You can also analyze multiple texts / links by creating a text file
with the filenames / links written in it.
A simple example of how drat can be used in a web application is provided in the
webapp directory.
Use
~~~
Please read the `wiki `_ for information about how to use drat.
Dependencies
~~~~~~~~~~~~
Python, click and requests.
Name
~~~~
Drat is a recursive acronym which either stands for Drat is a Readability
Analysis Tool or Drat is a Rabid Assessor of Texts.
Author
~~~~~~
This program has been developed by David Whitlock.
License
~~~~~~~
Drat is free software: you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free
Software Foundation, either version 3 of the License, or (at your
option) any later version.