🐜🐜🐜 ants is the most powerful and reliable pooling solution for Go.
- goroutine-pool
- goroutine
- pool
- go
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Simple, reliable, and efficient distributed task queue in Go
🧟 The modern PHP app server
- caddy
- go
- php
- sapi
🤯 High-performance PHP application server, process manager written in Go and powered with plugins
- application-server
- golang
- workers
- supervisor
A goroutine pool for Go
- workers
- goroutine-pool
- golang
- go
goworker is a Go-based background worker that runs 10 to 100,000* times faster than Ruby-based workers.
🔘 Minimalistic and High-performance goroutine worker pool written in Go
- go
- goroutine-pool
- worker-pool
- worker-pool-factory
non-blocking concurrency-limiting goroutine pool
- worker-pool
- concurrency
Simple, modular, and observable Go framework for backend applications.
- framework
- go
- golang
- grpc-server
Lightweight Goroutine pool
- golang
- goroutine
- pool
- workers
golang worker pool , Concurrency limiting goroutine pool
- golang
- pool
- concurrency
- workerpool
Simple in-memory job queue for Golang using worker-based dispatching
- golang
- queue-workers
- job-scheduler
- job-worker
A Simplest in-memory and Distributed Storage-Agnostic Message Queue for Your Concurrent Go Program
- concurrency
- go
- goroutine
- priority-queue
errgroup with goroutine worker limits
- go
- golang
- sync
- errgroup
Go simple async worker pool
- worker-pool
- async
- no-showcase
gpool - a generic context-aware resizable goroutines pool to bound concurrency based on semaphore.
- concurrency
- workerpool
- goroutine-pool
- resource-pool
Gowl is a process management and process monitoring tool at once. An infinite worker pool gives you the ability to control the pool and processes and monitor their status.
- golang
- go
- pooling
- pool
Unlimited job queue for go, using a pool of concurrent workers processing the job queue entries
A worker pool manager for DigitalOcean hosts.
Go WorkerPool aims to control heavy Go Routines
- threadpool
- workerpool
- golang
- goroutine
Zero-config, auto-scaling worker pool for Go with priority-aware scheduling, adaptive resource management, and per-task retry logic.
- async
- auto-scaling
- backpressure
- concurrency