tunny
workerpool
| tunny | workerpool | |
|---|---|---|
| 3 | 1 | |
| 3,914 | 92 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | almost 4 years ago | |
| Go | Go | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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tunny
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Show HN: Rill – Composable concurrency toolkit for Go
There are also libraries like https://github.com/Jeffail/tunny or https://pkg.go.dev/go.uber.org/goleak or https://github.com/fatih/semgroup to help deal with concurrency limits and goroutine lifecycle management.
As the author of https://github.com/ahmetb/go-linq, it's hard to find adoption for libraries offering "syntactic sugar" in Go, as the language culture discourages those kind of abstractions and keeping the code straightforward.
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Help! channel vs workerpool
https://github.com/Jeffail/tunny uses interface, os it's a no for me
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Show HN: Tasqueue – A simple, customisable distributed job/worker in Go
Is this a more advanced version of Tunny [0]?
[0] https://github.com/Jeffail/tunny
workerpool
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Implementing Worker Pools in Go - Go Concurrency
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?
ants - 🐜🐜🐜 ants is the most powerful and reliable pooling solution for Go.
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.
goworker - goworker is a Go-based background worker that runs 10 to 100,000* times faster than Ruby-based workers.
semaphore go - Fast resizable golang semaphore primitive
go-floc - Floc: Orchestrate goroutines with ease.
pond - 🔘 Minimalistic and High-performance goroutine worker pool written in Go
neilotoole/errgroup - errgroup with goroutine worker limits
grpool - Lightweight Goroutine pool
go-waitgroup - A sync.WaitGroup with error handling and concurrency control