There are 1 repository under pest topic.
Test requests in Laravel without all the boilerplate.
The official Pest Plugin for PhpStorm / IntelliJ IDEA
An example of an application built with Symfony 5, GraphQL and Nuxt.js
intelephense (PHP language server) extension for coc.nvim. intelephense’s various LSP features and this extension's additional features are available.
The Pest Laravel Expectations Plugin
🤡 A provider for FakerPHP that generates fake, but structurally correct IDs for Stripe API resources.
A Laravel project with a Domain-Driven Design (DDD) structure, basic configuration, and commonly used packages pre-installed and configured, to help you start building your next big application.
A simple and general purpose html/xhtml parser, using Pest.
A curated list of resources, projects, and tools using or for the pest parser generator in Rust
🚀 A curated list of awesome resources related to Pest.
A package that creates PEST tests specifically tailored for your filament resources.
IDE tools for writing pest grammars, using the Language Server Protocol for Visual Studio Code, Vim and other editors
A generator for high-performance Pest parsers, bringing your grammar to the next level
A PestPHP addon for Laravel Shift's Blueprint
🌽 A simple and pain-free configuration language. Reference libcorn implementation and CLI.
A preset for installing @pestphp in a fresh Laravel project
Make sure all routes in your Laravel app are ok
A Pest plugin for WordPress
Precision Agriculture based ML and DL project (local host deployment) which have features of crop recommendation, fertilizer recommendation and pesticide recommendation.
pest grammar syntax highlighting
⛽ Pest plugin to test Laravel applications powered by Octane.
Yellow Sticky Traps Dataset with improved annotations. Based on: "Raw data from Yellow Sticky Traps with insects for training of deep learning Convolutional Neural Network for object detection" by A.T. Nieuwenhuizen et. al.
✂️ Code Snippets for writing Pest PHP tests in VSCode
🧱 Set up a modern Siler app by running one command.
An open-source python package for (environmental) model calibration and uncertainty analysis based on elite opposition modified heuristic algorithms and the GLUE framework.