Skip to main content

This Pelcan plugin calculates various statistics about a post and stores them in an article.stats dictionary.

Project description

Post Stats is a plugin for Pelican, a static site generator written in Python.

Post Stats calculates various statistics about a post and store them in an article.stats dictionary:

  • wc: how many words

  • read_mins: how many minutes would it take to read this article, based on 250 wpm (source)

  • word_counts: frquency count of all the words in the article; can be used for tag/word clouds

  • fi: Flesch-Kincaid Index/Reading Ease (more info)

  • fk: Flesch-Kincaid Grade Level

PyPI version number Changelog Supported Python version License Download Count

Installation

The easiest way to install Post Stats is through the use of pip. This will also install the required dependencies automatically.

pip install minchin.pelican.plugins.post_stats

On Pelican versions 4.5 and later, the plugin will automatically activate itself!

You may also need to configure your template to make use of the statistics generated.

Requirements

Post Stats depends on (and is really only useful with) Pelican. The plugin also requries Beautiful Soup 4 to process your content. If the plugin is installed from pip, these will automatically be installed. These can also be manually installed with pip:

pip install pelican
pip install beautifulsoup4

Configuration and Usage

This plugin calculates various statistics about a post and store them in an article.stats dictionary.

Example:

{
    'wc': 2760,
    'fi': '65.94',
    'fk': '7.65',
    'word_counts': Counter({u'to': 98, u'a': 90, u'the': 83, u'of': 50, ...}),
    'read_mins': 12
}

This allows you to output these values in your templates, like this, for example:

<p title="~{{ article.stats['wc'] }} words">~{{ article.stats['read_mins'] }} min read</p>
<ul>
    <li>Flesch-kincaid Index/ Reading Ease: {{ article.stats['fi'] }}</li>
    <li>Flesch-kincaid Grade Level: {{ article.stats['fk'] }}</li>
</ul>

The word_counts variable is a python Counter dictionary and looks something like this, with each unique word and it’s frequency:

Counter({u'to': 98, u'a': 90, u'the': 83, u'of': 50, u'karma': 50, .....

and can be used to create a tag/word cloud for a post.

There are no user-configurable settings.

Credits

Original plugin by Duncan Lock (@dflock) and posted to the Pelican-Plugins repo.

License

The plugin code is assumed to be under the AGPLv3 license (this is the license of the Pelican-Plugins repo).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Built Distribution

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page