Libraries tagged by clacks
clicks/php-mp
15 Downloads
Mercado Pago PHP SDK
clickspaceio/laravel-eloquent-rest-filter
33 Downloads
clickspaceio/laravel-clickexception
87 Downloads
viszman/map-bundle
6 Downloads
Integration of the gedmo/doctrine-extensions with Symfony2 Using simple clicks to interacts with
thelia/click-send-module
36 Downloads
ClickSend module for Thelia
sfcms/banner-bundle
38 Downloads
Module used to create and display advertising banners and retrieve statistics on the number of views and clicks.
redmatter/chrono
3 Downloads
Accurate, testable and consistent API for clocks and times
rapidwebltd/php-bucket-testing
28 Downloads
This library enables developers to easily redirect users to different URLs, for the purpose of bucket testing. Bucket testing is also known as A/B testing or split testing. This type of testing is used to test two or more versions of a webpage to determine which one performs better based on specfied key metrics, such as clicks, downloads, purchases or any other form of conversion.
nux/hashdb
11 Downloads
Components from crackstation-hashdb for use in symfony
mapkyca/elgg-link-tracking
18 Downloads
Provides mechanisms for clicks on urls placed on certain pages
konecnyjakub/clock
1 Downloads
Collection of PSR-20 clocks
imarc/craft-ab-test
0 Downloads
Allows a user to set up an A/B test in Craft, track impressions and clicks with GA-4, and serve different versions. The serving is done in the front end, so front end caching will not interfere with the test.
gdpr-extensions-com/gdpr_extensions_com_bm
4 Downloads
Add content elements for shuffling or sliding banners, boost revenue with custom banners. Create and manage campaigns easily with our code editor. Track impressions, clicks, and other metrics for maximum ROI.
flipboxfactory/craft-tracker
13 Downloads
Track various actions such as page views and clicks
divineomega/php-bucket-testing
25 Downloads
This library enables developers to easily redirect users to different URLs, for the purpose of bucket testing. Bucket testing is also known as A/B testing or split testing. This type of testing is used to test two or more versions of a webpage to determine which one performs better based on specfied key metrics, such as clicks, downloads, purchases or any other form of conversion.