kyoo alternatives and similar packages
Based on the "Goroutines" category.
Alternatively, view kyoo alternatives based on common mentions on social networks and blogs.
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ants
🐜🐜🐜 ants is a high-performance and low-cost goroutine pool in Go./ ants 是一个高性能且低损耗的 goroutine 池。 -
goworker
goworker is a Go-based background worker that runs 10 to 100,000* times faster than Ruby-based workers. -
pool
:speedboat: a limited consumer goroutine or unlimited goroutine pool for easier goroutine handling and cancellation -
Goflow
Simply way to control goroutines execution order based on dependencies -
artifex
Simple in-memory job queue for Golang using worker-based dispatching -
go-workers
👷 Library for safely running groups of workers concurrently or consecutively that require input and output through channels -
async
A safe way to execute functions asynchronously, recovering them in case of panic. It also provides an error stack aiming to facilitate fail causes discovery. -
gollback
Go asynchronous simple function utilities, for managing execution of closures and callbacks -
semaphore
🚦 Semaphore pattern implementation with timeout of lock/unlock operations. -
Hunch
Hunch provides functions like: All, First, Retry, Waterfall etc., that makes asynchronous flow control more intuitive. -
go-do-work
Dynamically resizable pools of goroutines which can queue an infinite number of jobs. -
gpool
gpool - a generic context-aware resizable goroutines pool to bound concurrency based on semaphore. -
routine
go routine control, abstraction of the Main and some useful Executors.如果你不会管理Goroutine的话,用它 -
go-actor
A tiny library for writing concurrent programs in Go using actor model -
gowl
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. -
go-waitgroup
A sync.WaitGroup with error handling and concurrency control -
channelify
Make functions return a channel for parallel processing via go routines. -
conexec
A concurrent toolkit to help execute funcs concurrently in an efficient and safe way. It supports specifying the overall timeout to avoid blocking. -
execpool
A pool that spins up a given number of processes in advance and attaches stdin and stdout when needed. Very similar to FastCGI but works for any command. -
concurrency-limiter
Concurrency limiter with support for timeouts , dynamic priority and context cancellation of goroutines. -
hands
Hands is a process controller used to control the execution and return strategies of multiple goroutines. -
queue
package queue gives you a queue group accessibility. Helps you to limit goroutines, wait for the end of the all goroutines and much more. -
async-job
AsyncJob is an asynchronous queue job manager with light code, clear and speed. I hope so ! 😬 -
github.com/akshaybharambe14/gowp
High performance, type safe, concurrency limiting worker pool package for golang!
Clean code begins in your IDE with SonarLint
Do you think we are missing an alternative of kyoo or a related project?
README
kyoo: A Go library providing an unlimited job queue and concurrent worker pools
About
kyoo is the phonetic transcription of the word queue. It provides a job queue that can hold as much jobs as resources are available on the running system.
The queue has the following characteristics:
- No limit of jobs to be queued (only limited by system resources = memory)
- Concurrent processing of jobs using worker pools
- When stopping queue, pending jobs are still processed
The library contains a simple Job
interface and a simple FuncExecutorJob
that
just executes a given function and implements that interface. With that nearly all
kinds of workloads should be processable already but of course it is possible to add
custom implementations of the Job
interface.
Possible use cases for the library are:
- Consumers for message queues like RabbitMQ or Amazon SQS
- Processing web server requests offloading time extensive work into background jobs
- All kinds of backend processing jobs like image optimization, etc.
Example
The following example shows a simple http server offloading jobs to the jobqueue that is constantly processed in the background.
package main
import (
"fmt"
"log"
"net/http"
"runtime"
"time"
jobqueue "github.com/dirkaholic/kyoo"
"github.com/dirkaholic/kyoo/job"
)
var queue *jobqueue.JobQueue
func handler(w http.ResponseWriter, r *http.Request) {
queue.Submit(&job.FuncExecutorJob{Func: func() error {
return doTheHeavyBackgroundWork(r.URL.Path)
}})
fmt.Printf("%s - submitted %s !!\n", time.Now().String(), r.URL.Path)
fmt.Fprint(w, "Job added to queue.")
}
func main() {
queue = jobqueue.NewJobQueue(runtime.NumCPU() * 2)
queue.Start()
http.HandleFunc("/", handler)
log.Fatal(http.ListenAndServe(":8080", nil))
}
func doTheHeavyBackgroundWork(path string) error {
time.Sleep(2 * time.Second)
fmt.Printf("%s - processed %s !!\n", time.Now().String(), path)
return nil
}
Test the offloading by sending a bunch of http requests to the server
$ for i in {1..10}; do http http://127.0.0.1:8080/test/$i; done
The output on http server side should be similar like this
2020-01-09 21:36:36.156277 +0100 CET m=+5.733617272 - submitted /test/1 !!
2020-01-09 21:36:36.443521 +0100 CET m=+6.020861136 - submitted /test/2 !!
2020-01-09 21:36:36.730535 +0100 CET m=+6.307874793 - submitted /test/3 !!
2020-01-09 21:36:37.021405 +0100 CET m=+6.598744533 - submitted /test/4 !!
2020-01-09 21:36:37.311973 +0100 CET m=+6.889312431 - submitted /test/5 !!
2020-01-09 21:36:37.609868 +0100 CET m=+7.187208115 - submitted /test/6 !!
2020-01-09 21:36:37.895222 +0100 CET m=+7.472561850 - submitted /test/7 !!
2020-01-09 21:36:38.160524 +0100 CET m=+7.737863891 - processed /test/1 !!
2020-01-09 21:36:38.171491 +0100 CET m=+7.748830724 - submitted /test/8 !!
2020-01-09 21:36:38.445832 +0100 CET m=+8.023171514 - processed /test/2 !!
2020-01-09 21:36:38.448423 +0100 CET m=+8.025762679 - submitted /test/9 !!
2020-01-09 21:36:38.730541 +0100 CET m=+8.307880933 - submitted /test/10 !!
2020-01-09 21:36:38.735158 +0100 CET m=+8.312497505 - processed /test/3 !!
2020-01-09 21:36:39.024788 +0100 CET m=+8.602128093 - processed /test/4 !!
2020-01-09 21:36:39.315991 +0100 CET m=+8.893331115 - processed /test/5 !!
2020-01-09 21:36:39.614848 +0100 CET m=+9.192187633 - processed /test/6 !!
2020-01-09 21:36:39.896692 +0100 CET m=+9.474031970 - processed /test/7 !!
2020-01-09 21:36:40.175952 +0100 CET m=+9.753291345 - processed /test/8 !!
2020-01-09 21:36:40.451877 +0100 CET m=+10.029216847 - processed /test/9 !!
2020-01-09 21:36:40.734289 +0100 CET m=+10.311628415 - processed /test/10 !!
More examples
- [SQS worker](examples/sqsworker)