Description
Goflow is a simply package to control goroutines execution order based on dependencies. It works similar to async.auto from node.js async package, but for Go.
Goflow alternatives and similar packages
Based on the "Goroutines" category.
Alternatively, view Goflow 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, inspired by fasthttp./ 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 -
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. -
go-workers
👷 Library for safely running groups of workers concurrently or consecutively that require input and output through channels -
artifex
Simple in-memory job queue for Golang using worker-based dispatching -
semaphore
🚦 Semaphore pattern implementation with timeout of lock/unlock operations. -
go-do-work
Dynamically resizable pools of goroutines which can queue an infinite number of jobs. -
gollback
Go asynchronous simple function utilities, for managing execution of closures and callbacks -
Hunch
Hunch provides functions like: All, First, Retry, Waterfall etc., that makes asynchronous flow control more intuitive. -
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 -
kyoo
Unlimited job queue for go, using a pool of concurrent workers processing the job queue entries -
go-waitgroup
A sync.WaitGroup with error handling and concurrency control -
channelify
Make functions return a channel for parallel processing via go routines. -
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. -
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. -
hands
Hands is a process controller used to control the execution and return strategies of multiple goroutines. -
concurrency-limiter
Concurrency limiter with support for timeouts , dynamic priority and context cancellation of 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. -
github.com/akshaybharambe14/gowp
High performance, type safe, concurrency limiting worker pool package for golang! -
async-job
AsyncJob is an asynchronous queue job manager with light code, clear and speed. I hope so ! 😬 -
oversight
Oversight is a complete implementation of the Erlang supervision trees.
Less time debugging, more time building
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README
Goflow
Goflow is a simply package to control goroutines execution order based on dependencies. It works similar to async.auto
from node.js async package, but for Go.
Install
Install the package with:
go get github.com/kamildrazkiewicz/go-flow
Import it with:
import "github.com/kamildrazkiewicz/go-flow"
and use goflow
as the package name inside the code.
Example
package main
import (
"fmt"
"github.com/kamildrazkiewicz/go-flow"
"time"
)
func main() {
f1 := func(r map[string]interface{}) (interface{}, error) {
fmt.Println("function1 started")
time.Sleep(time.Millisecond * 1000)
return 1, nil
}
f2 := func(r map[string]interface{}) (interface{}, error) {
time.Sleep(time.Millisecond * 1000)
fmt.Println("function2 started", r["f1"])
return "some results", nil
}
f3 := func(r map[string]interface{}) (interface{}, error) {
fmt.Println("function3 started", r["f1"])
return nil, nil
}
f4 := func(r map[string]interface{}) (interface{}, error) {
fmt.Println("function4 started", r)
return nil, nil
}
res, err := goflow.New().
Add("f1", nil, f1).
Add("f2", []string{"f1"}, f2).
Add("f3", []string{"f1"}, f3).
Add("f4", []string{"f2", "f3"}, f4).
Do()
fmt.Println(res, err)
}
Output will be:
function1 started
function3 started 1
function2 started 1
function4 started map[f2:some results f3:<nil>]
map[f1:1 f2:some results f3:<nil> f4:<nil>] <nil>
*Note that all licence references and agreements mentioned in the Goflow README section above
are relevant to that project's source code only.