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Larapara Laravel Package

pelmered/larapara

Larapara is a Laravel package for simple parallel processing. It lets you run independent tasks concurrently through a clean API, making it easier to speed up slow I/O, API calls, and batch operations while staying within familiar Laravel patterns.

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parallite/parallite-php 0.84 Parallite is a lightweight PHP package for running tasks in parallel, with a simple API for concurrent jobs and result collection. It integrates with Laravel and helps speed up independent operations without extra infrastructure, making it useful for batch processing and I/O-bound work. 6 6 3 491 0 11.7 28.2 MIT 5 months ago
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amphp/parallel 0.83 True parallel processing for PHP with AMPHP: run blocking tasks in worker processes or threads without blocking the event loop. Provides non-blocking concurrency tools and an easy worker pool API for distributing work; no extensions required (threads optional). 864 859 71 2M 20 32.6 57.0 MIT 5 months ago
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amphp/parallel-functions 0.82 Wrap callables to run in parallel processes/threads with AMPHP. Provides helpers like parallelMap to execute CPU-heavy or blocking tasks concurrently; callable state must be serializable. Built for PHP 8.1+ with fibers-friendly concurrency. 279 280 18 104K 4 5.0 36.1 MIT 2 years ago
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illuminate/concurrency 0.82 Laravel's official concurrency component. Run closures in parallel using process pools through the Concurrency facade, collect results with run(), fire background tasks with defer(), and tune drivers and limits. Ideal for fan-out workloads without queues. 11 — 0 — 0 0.1 — MIT —
publicplan/parallel-bridge 0.81 Parallel Bridge integrates Laravel with parallel execution, making it simple to run isolated PHP tasks concurrently. It keeps Laravel's container and services available inside workers, so you can offload expensive work, process jobs in parallel, and improve performance without custom plumbing. 3 3 0 0 0 0.0 — MIT —
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webmozarts/console-parallelization 0.81 Parallelize Symfony Console commands using multiple processes. A main process distributes items to child workers, restarts workers after segments to avoid slowdown, and supports batching with hooks for setup/teardown (e.g., DB flush) for faster bulk jobs. 227 227 20 76K 8 13.1 39.4 MIT 1 year ago
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spatie/async 0.81 Run PHP tasks in parallel with a simple Pool API built on PCNTL. Add closures, handle results via then/catch, and wait for completion. Ideal for speeding up batch jobs, CPU-heavy work, and IO-bound processing with multiple processes. 2,808 2,825 185 184K 0 33.6 26.4 MIT 8 months ago
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recca0120/laravel-parallel 0.81 Laravel Parallel speeds up Laravel test suites by running PHPUnit tests across multiple processes. It provides a simple Artisan command, configurable concurrency, and familiar PHPUnit output, helping large suites finish faster while staying integrated with Laravel. 63 — 4 — 0 0.8 — MIT 2 years ago
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vxm/laravel-async 0.80 vxm/laravel-async brings asynchronous and parallel execution to Laravel. Run closures and tasks concurrently with a simple API, await results, handle errors, and cap concurrency—ideal for speeding up slow I/O, reports, and batch jobs without restructuring your app. 154 154 31 4K 9 4.4 22.7 MIT 2 years ago
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php-standard-library/async 0.80 Fiber-based async primitives for PHP: structured concurrency with cooperative multitasking. Run tasks concurrently, manage lifecycles, cancellations, and scopes predictably. Part of PHP Standard Library; docs and guides at php-standard-library.dev. 2 2 0 110K 0 21.4 64.8 MIT 1 week ago
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jordanpartridge/laravel-ai-parallel-tools 0.80 Run multiple AI tool calls in parallel from your Laravel app. This package provides a simple API to dispatch concurrent AI tasks, cutting latency when your agents need several tools at once. Works with Laravel's ecosystem and is easy to drop into existing AI workflows. 1 — 1 — 0 19.8 — MIT 1 week ago
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jenner/simple_fork 0.80 SimpleFork is a PHP PCNTL-based multi-process framework with Java-like Thread/Runnable APIs. It provides process pools, automatic zombie recovery, signal handling, and IPC options like shared memory, SysV queues/semaphores, file locks, and Redis queues/cache. 226 232 57 7K 3 8.2 22.1 MIT 9 years ago
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pekral/arch-app-services 0.79 A structured application-services layer for Laravel that keeps controllers thin by moving use-case logic into dedicated, testable service classes with a consistent architecture. 0 — 0 — 0 19.5 — MIT 2 weeks ago
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amphp/thread 0.79 Thread-local storage for Amp applications. Store and retrieve values scoped to the current fiber or thread, keeping state isolated across concurrent tasks and preventing leaks between async operations. A small utility for safer context handling in Amp-based PHP apps. 294 — 21 — 0 1.1 — MIT 12 years ago
aureja/job-queue 0.79 JobQueue is a PHP package for managing job queues, providing a simple way to enqueue, process, and organize background tasks in your application. Suitable for basic queueing needs with a lightweight setup and straightforward API. 3 3 2 0 0 0.1 — MIT —
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david-garcia/php-resque 0.79 PHP port of GitHub’s Resque: a Redis-backed background job system for enqueueing and processing jobs with distributed workers. Supports multiple queues/priorities, forking for memory-leak resilience, job status tracking, failure marking, and setUp/tearDown hooks. 0 0 0 0 0 0.2 — MIT 8 years ago
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php-pm/php-pm 0.79 PHP-PM is a process manager, supercharger, and load balancer for PHP applications. It boots your app once and serves requests through multiple worker processes, eliminating repeated framework bootstrap overhead and boosting throughput for Laravel, Symfony, and other PHP apps. 6,538 — 367 — 26 44.4 11.5 MIT 4 years ago
pekkis/queue 0.79 Lightweight PHP queue library with pluggable backends such as Redis and AMQP. It offers producer/consumer abstractions and a queue manager for simple, reliable background job processing in Laravel or any PHP application. 18 — 6 — 1 0.4 — NOASSERTION —
emilianosuarez/distributed-laravel 0.79 Distributed Laravel brings distributed-system primitives to Laravel: shared locks, cache coordination, and helpers for running multiple app instances safely. Framework-native APIs, simple configuration, and drop-in integration make horizontal scaling easier without extra infrastructure. 0 — 0 — 0 0.0 — MIT 1 year ago
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