SalvatoreDP

<p>WP Readability Analysis is a wordpress plugin that calculates the index<br />
of readability of a post or page using various methods: Gulpease, Gunning-Fog,<br />
Flesch and Flesch-Kincaid.<br />
With these formulas we try to analyze how difficult it is to read a text.</p>
<p>The method Gulpease, calibrated for the Italian language, unlike the other<br />
is based on word length in letters rather than syllables.</p>
<p>Methods Flesch-Kincaid and Flesch, who are the most famous, using formulas based<br />
on the average number of words per sentence and the average number of syllables per word.</p>
<p>The method Gunning-Fog uses a formula based on the average number of words per<br />
sentence and the percentage of words with 3 or more syllables.</p>
<p>Unlike Gulpease, these three methods are mainly used in the English language.<br />
Both Gunning-Fog that Flesch-Kincaid return a score which is the number of<br />
years of education that the user must have to understand the text.</p>
<p>I invite you to know more about the various pages of wikipedia devoted<br />
to the various formulas.</p>


WP Readability Analysis

Shows readability analysis of the post or page using Gulpease, Gunning-Fog, Flesch and Flesch-Kincaid readability measurements.

simon.holliday

<p>The Anomify plugin sends selected performance metrics about your WordPress site to the Anomify.ai service for anomaly detection and alerting.</p>
<p>After ingesting data we learn normal patterns, detect any unusual behaviour, alert on anomalies in real time, and constantly feed back to improve the model.</p>
<p>You will need to obtain an API key and data URL from <a href="https://anomify.ai/" rel="nofollow ugc">Anomify AI</a> before the plugin can be enabled. Anomify has a free Developer account which allows up to 100 metrics.</p>
<h3>Intro</h3>
<p>Anomify AI is a UK based anomaly detection company for real time time-series data. Using machine learning and multi-stage analysis we enable organisations to react quickly to the changing health of their data at scale.</p>
<p>We provide a cost-effective anomaly detection solution, which can be deployed flexibly via the cloud or on-premise.</p>
<p>Anomify employs a semi-supervised system model that allows domain experts to directly train the system and continually improve its performance and usefulness.</p>
<h3>Native Metrics</h3>
<ul>
<li>content.comment.added.{approved|not-approved|spam}</li>
<li>content.{post_id}.deleted</li>
<li>content.{post_id}.updated</li>
<li>content.{post_type}.status.transition.{new_status}</li>
<li>login.fail</li>
<li>login.success</li>
<li>php.exception</li>
</ul>
<h3>Integration with other WordPress plugins</h3>
<p>Anomify can integrate with certain other plugins to send metrics describing their performance to Anomify which wll automatically detect anomalies.</p>
<p>The Anomify WordPress plugin can detect anomalies on metrics generated from certain other plugins.</p>
<p>To enable a third-party plugin integration, first install and activate the plugin, then enable it from the Anomify plugin settings page. All plugin integrations are disabled by default.</p>
<p>Metrics generated from plugins are automatically prefixed with “plugin.{plugin_name}.” e.g. “plugin.woocommerce.”.</p>
<p>These integrations are works in progress. If you find them useful, <a href="https://wordpress.org/support/plugin/anomify/" rel="ugc">please let us know</a> as it will help us to prioritise further development.</p>
<h3>WP Statistics</h3>
<p><a href="https://wordpress.org/plugins/wp-statistics/" rel="ugc">Plugin page</a></p>
<p>Metrics that Anomify will collect:</p>
<ul>
<li>visitor.new – number of new visitors today</li>
<li>visitor.returning – number of return visitors today</li>
<li>visitor.country.$country_code – number of visitors from country with ISO code $country_code e.g. “ca”</li>
<li>visitor.agent.$agent – number of visitors using user agent $agent e.g. “chrome”</li>
<li>visitor.device.$device – number of visitors using device type $device e.g. “desktop”</li>
<li>visitor.platform.$platform – number of visitors using platform $platform e.g. “windows”</li>
<li>exclusion.$exclusion_reason – number of requests which are excluded from visit counts due to $exclusion_reason e.g. “robot”</li>
</ul>
<p>Metrics from this plugin are prefixed with “plugin.wp-statistics”, e.g. “plugin.wp-statistics.visitor.new”</p>
<h3>WooCommerce</h3>
<p><a href="https://wordpress.org/plugins/woocommerce/" rel="ugc">Plugin page</a></p>
<p>Metrics that Anomify will collect:</p>
<ul>
<li>cart.added</li>
<li>cart.emptied</li>
<li>cart.updated</li>
<li>customer.created</li>
<li>customer.deleted</li>
<li>customer.password.reset</li>
<li>order.cancelled</li>
<li>order.created</li>
<li>payment.complete</li>
</ul>
<p>Metrics from this plugin are prefixed with “plugin.woocommerce”, e.g. “plugin.woocommerce.payment.complete”</p>
<h3>For plugin developers</h3>
<p>If you want to send metrics from your own plugin, install the Anomify plugin, and use the following syntax in your own code:</p>
<pre><code>do_action('anomify_increment_plugin_metric', 'my.metric.name');
</code></pre>
<p>Or to increment the metric by a value other than 1, e.g. 5, add an optional third parameter:</p>
<pre><code>do_action('anomify_increment_plugin_metric', 'my.metric.name', 5);
</code></pre>
<p>The name of your plugin will be automatically prepended to the metric name so you don’t need to include it in the name that you pass.</p>
<h4>Features</h4>
<ul>
<li>Always on</li>
<li>Analysing your data 24/7</li>
<li>Real-time alerts</li>
<li>Custom algorithms</li>
<li>Root cause analysis</li>
<li>API access</li>
<li>Patented tech</li>
</ul>


Anomify AI – Anomaly Detection and Alerting

The Anomify plugin sends selected performance metrics about your WordPress site to the Anomify.ai service for anomaly detection and alerting.

WP Readability Analysis vs Anomify AI – Anomaly Detection and Alerting