routine alternatives and similar packages
Based on the "Goroutines" category.
Alternatively, view routine alternatives based on common mentions on social networks and blogs.
-
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. -
pond
🔘 Minimalistic and High-performance goroutine worker pool written in Go -
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. -
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. -
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. -
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. -
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!
Access the most powerful time series database as a service
Do you think we are missing an alternative of routine or a related project?
Popular Comparisons
README
routine
Routine Architecture
[](docs/routine.png)
Quick Start
package main
import (
"log"
"context"
"github.com/x-mod/routine"
)
func main(){
if err := routine.Main(
context.TODO(),
routine.Command("echo", routine.ARG("hello routine!")),
); err != nil {
log.Fatal(err)
}
}
Or you can just clone the repo, then running go run quickstart/main.go
.
Main Routine
The most functional feature is providing the Main
function abstraction, you can use the routine.Main
to wrap your main function logic very quickly.
package main
import (
"context"
"github.com/x-mod/routine"
)
func MainGo(ctx context.Context) error {
log.Println("this is the Main Go func")
return nil
}
func ChildGo(ctx context.Context) error {
log.Println("this is the Child Go func")
return nil
}
func prepareGo(ctx context.Context) error {
log.Println("this is the prepare Go func")
return nil
}
func cleanupGo(ctx context.Context) error {
log.Println("this is the Clean Go func")
return nil
}
func main(){
log.Println(
routine.Main(
context.TODO(),
//main Go
routine.ExecutorFunc(MainGo),
//prpare Go
routine.Prepare(routine.ExecutorFunc(prepareGo)),
//cleanup Go
routine.Cleanup(routine.ExecutorFunc(cleanupGo)),
routine.Go(routine.ExecutorFunc(ChildGo)),//child Go
routine.Go(routine.ExecutorFunc(ChildGo)),
routine.Go(routine.ExecutorFunc(ChildGo)),
//signals
routine.Signal(syscall.SIGINT, routine.SigHandler(func() {
os.Exit(1)
})),
),
)
}
Routine
create and control your own routine by routine.New
.
import "github.com/x-mod/routine"
err := routine.New(opts...).Execute(ctx)
Executors
The package provides many useful executor adapters for you:
- guarantee
- timeout & deadline
- retry & repeat
- concurrent
- crontab
- parallel & sequence
- command
- profiling
with these executor adapters, you can building the most complex goroutine logic.
import "github.com/x-mod/routine"
//timeout
timeout := routine.Timeout(time.Minute, exec)
//retry
retry := routine.Retry(3, exec)
//repeat
repeat := routine.Repeat(10, time.Second, exec)
//concurrent
concurrent := routine.Concurrent(4, exec)
//schedule executor
crontab := routine.Crontab("* * * * *", exec)
//command
command := routine.Command("echo", routine.ARG("hello routine!"))
//parallel
parallel := routine.Parallel(exec1, exec2, exec3, ...)
//sequence
sequece := routine.Append(exec1, exec2, exec3, ...)
Enjoy
More details, please check the [example](example/main.go) and trace it.
$: go run example/main.go
# trace go routine & tasks
$: go tool trace trace.out
Then you can check the tasks like this:
[](docs/usetasks.png)