Libraries tagged by Pattern Matching
rolfvreijdenberger/izzum-statemachine
23743 Downloads
A superior statemachine library php >= 5.3. Integrates with your domain models perfectly.
coral-media/php-ml
1037 Downloads
PHP-ML - Machine Learning library for PHP
rickwong/phur
9 Downloads
Phur - PHP Software Design Patterns framework
hyncica/php8-ml
1089 Downloads
PHP-ML - Machine Learning library for PHP
gmorel/state-workflow-bundle
420 Downloads
Helping you implementing a complex yet easily maintainable workflow
tonix-tuft/status-quo
77 Downloads
A simple generic library to implement FSMs (Finite-State Machines) and the State Design Pattern in PHP.
qazdcc/php-ml
23 Downloads
PHP-ML - Machine Learning library for PHP
ovg288/php-ml
11576 Downloads
PHP-ML - Machine Learning library for PHP
mpescador1/php-mt
6 Downloads
PHP-ML - Machine Learning library for PHP
rinvex/laravel-repositories
16886 Downloads
Rinvex Repository is a simple, intuitive, and smart implementation of Active Repository with extremely flexible & granular caching system for Laravel, used to abstract the data layer, making applications more flexible to maintain.
rinvex/repository
40485 Downloads
Rinvex Repository is a simple, intuitive, and smart implementation of Active Repository with extremely flexible & granular caching system for Laravel, used to abstract the data layer, making applications more flexible to maintain.
codeofdigital/cache-repository
4336 Downloads
Laravel Repository Package with Caching
ryanhellyer/stale-cache
5 Downloads
A PHP implementation of the stale-while-revalidate caching pattern for WordPress
hejunjie/cache
285 Downloads
基于装饰器模式实现的多层缓存系统,支持内存、文件、本地与远程缓存组合,提升缓存命中率,简化缓存管理逻辑 | A layered caching system built with the decorator pattern. Supports combining memory, file, local, and remote caches to improve hit rates and simplify cache logic.
rizalfakhri/laravel-repositories
42 Downloads
Rinvex Repository is a simple, intuitive, and smart implementation of Active Repository with extremely flexible & granular caching system for Laravel, used to abstract the data layer, making applications more flexible to maintain.