Popularity
2.5
Growing
Activity
0.0
Stable
35
4
2
Programming language: Go
License: MIT License
Tags:
Goroutines
parallel-fn alternatives and similar packages
Based on the "Goroutines" category.
Alternatively, view parallel-fn 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. -
neilotoole/errgroup
errgroup with goroutine worker limits -
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. -
goccm
Limits the number of goroutines that are allowed to run concurrently -
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 -
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-actor
A tiny library for writing concurrent programs in Go using actor model -
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. -
go-tools/multithreading
A collection of tools for Golang -
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!
Access the most powerful time series database as a service
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Promo
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Do you think we are missing an alternative of parallel-fn or a related project?
README
Parallel fn
- Run functions in parallel.
- Limit the number of goroutines running at the same time.
Installation
go get -u github.com/rafaeljesus/parallel-fn
Usage
Run
package main
import (
"errors"
"github.com/rafaeljesus/parallel-fn"
)
func main() {
timeout := time.After(2 * time.Second)
fn1 := func() error { return nil }
fn2 := func() error { return errors.New("BOOM!") }
for {
select {
case err := <-Run(fn1, fn2):
// catch errors
case <-timeout:
// handle timeout
}
}
}
RunLimit
package main
import (
"errors"
"github.com/rafaeljesus/parallel-fn"
)
func main() {
timeout := time.After(2 * time.Second)
fn1 := func() error { return nil }
fn2 := func() error { return errors.New("BOOM!") }
fn3 := func() error { nil }
fn4 := func() error { nil }
for {
select {
case err := <-RunLimit(2, fn1, fn2, fn3, fn4):
// catch errors
case <-timeout:
// handle timeout
}
}
}
Contributing
- Fork it
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create new Pull Request
Badges
GitHub @rafaeljesus · Medium @_jesus_rafael · Twitter @_jesus_rafael