goworker VS workerpool

Compare goworker vs workerpool and see what are their differences.

goworker

goworker is a Go-based background worker that runs 10 to 100,000* times faster than Ruby-based workers. (by benmanns)
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goworker workerpool
3 1
2,807 92
0.3% -
0.0 0.0
over 2 years ago about 4 years ago
Go Go
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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goworker

Posts with mentions or reviews of goworker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-06.

workerpool

Posts with mentions or reviews of workerpool. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-09.
  • Implementing Worker Pools in Go - Go Concurrency
    4 projects | /r/golang | 9 Jul 2021
    This is a good starting point. As a next step you could introduce some already existing library, for example these ones: https://github.com/benmanns/goworker https://github.com/vardius/worker-pool https://github.com/xxjwxc/gowp

What are some alternatives?

When comparing goworker and workerpool you can also consider the following projects:

ants - 🐜🐜🐜 ants is the most powerful and reliable pooling solution for Go.

semaphore - 🚦 Semaphore pattern implementation with timeout of lock/unlock operations.

semaphore go - Fast resizable golang semaphore primitive

tunny - A goroutine pool for Go

pond - 🔘 Minimalistic and High-performance goroutine worker pool written in Go

Goflow - Simply way to control goroutines execution order based on dependencies

go-floc - Floc: Orchestrate goroutines with ease.

neilotoole/errgroup - errgroup with goroutine worker limits

go-do-work - Dynamically resizable pools of goroutines which can queue an infinite number of jobs.

go-waitgroup - A sync.WaitGroup with error handling and concurrency control

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