semaphore go VS pool

Compare semaphore go vs pool and see what are their differences.

pool

:speedboat: a limited consumer goroutine or unlimited goroutine pool for easier goroutine handling and cancellation (by go-playground)
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semaphore go pool
- -
173 725
- 0.0%
0.0 0.0
over 3 years ago over 3 years ago
Go Go
MIT License 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

semaphore go

Posts with mentions or reviews of semaphore go. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning semaphore go yet.
Tracking mentions began in Dec 2020.

pool

Posts with mentions or reviews of pool. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning pool yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing semaphore go and pool you can also consider the following projects:

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

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

workerpool - Go simple async worker pool

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

grpool - Lightweight Goroutine pool

WorkerGo - A worker pool implementation for Go

goworker - goworker is a Go-based background worker that runs 10 to 100,000* times faster than Ruby-based workers.

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

threadpool - Golang simple thread pool implementation

tunny - A goroutine pool for Go

parallel-fn - Run functions in parallel :comet:

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.

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Did you konow that Go is
the 4th most popular programming language
based on number of metions?