Libraries tagged by a-b-testing

qodenl/laravel-posthog

35 Favers
94156 Downloads

Laravel implementation for Posthog

featurit/featurit-sdk-symfony

4 Favers
1339 Downloads

Symfony SDK for FeaturIT

featurit/featurit-sdk-php

3 Favers
1635 Downloads

PHP SDK for FeaturIT

pablojoan/feature

28 Favers
32 Downloads

Feature flagging API used for operational rampups and A/B testing

featurit/featurit-sdk-laravel

3 Favers
114 Downloads

Laravel SDK for FeaturIT

rlnks/sdk

1 Favers
7 Downloads

Official PHP SDK for the RLNKS API - Smart redirect and image routing

rapidwebltd/php-bucket-testing

2 Favers
29 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.

pythagor/yii-phpab

0 Favers
7 Downloads

A-B testing extension for the Yii framework

pythagor/php-a-b

0 Favers
36 Downloads

A/B testing library

mohamedhekal/laravel-featurebox

1 Favers
0 Downloads

A simple, flexible feature toggle system for Laravel — control the visibility of features across environments, users, and conditions.

jord-jd/php-bucket-testing

0 Favers
1 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.

divineomega/php-bucket-testing

0 Favers
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.