pool VS semaphore go

Compare pool vs semaphore go 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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pool semaphore go
- -
729 175
0.1% -0.6%
0.0 0.0
almost 4 years ago about 4 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.

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.

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.

What are some alternatives?

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

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

workerpool - Go simple async worker pool

tunny - A goroutine pool for Go

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

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

neilotoole/errgroup - errgroup with goroutine worker limits

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Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
influxdata.com
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Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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Did you know that Go is
the 4th most popular programming language
based on number of references?