itogami
Fastest and most efficient goroutine pool (experimental) (by alphadose)
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。 (by panjf2000)
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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.
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.
itogami
Posts with mentions or reviews of itogami.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-28.
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HaxMap v0.2.0 released, huge performance improvements and added support for 32-bit systems
Use of golang runtime internals like itogami and ZenQ to squeeze out a little extra performance
- Itogami, a highly optimized goroutine pool implemented using a lock-free stack
- itogami, a low-latency memory-optimized goroutine pool useful for high-throughput bound operations
- Itogami, the best thread-pool in Golang till date
- Itogami, the best golang thread-pool till date
ants
Posts with mentions or reviews of ants.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-04.
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Rust vs Go Issue
I remember doing something similar to OP recently. Goroutines also incur a bit of overhead (have to be GC'd and so on), and the same worker pool technique can be applied to them in much the same way, as seen in popular libraries like https://github.com/panjf2000/ants
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Beginner ~ Intermediate Go programmer, how can I get better in go and get out of the "beginner" phase?
The best example I can give you is https://github.com/nutsdb/nutsdb it’s great project that got me started, one thing one should know is Go is different “yep” so there’re some coding habits that may bite you in Go and the Go compiler won’t correct you, you wanna learn about optimizations, unsafe usage check out https://github.com/valyala/fasthttp (note this is deep the rabbit hole), wanna learn concurrency check out ants https://github.com/panjf2000/ants with a little aid from “Go by example” you’re good to go
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Conc: Better Structured Concurrency for Go
conc seem similar to ant lib (https://github.com/panjf2000/ants). Is there any considerable difference between them?
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[Side Project] Post automated Youtube videos from Reddit
But still, that looked hard to maintain, and I asked myself there has to be a better way to do this, just out of curiosity i googled and came across ants which seemed exactly right for this kind of functionality I wanted, so I converted the same function to use ants, and it became this:
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Dynamic number of Goroutines based on load?
You can try use this one https://github.com/panjf2000/ants We are using that as well for that purpose
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Itogami, the best golang thread-pool till date
Benchmarking was performed against existing golang threadpool implementations Ants and Gamma-Zero-Worker-Pool and unlimited goroutines
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Hello! Please explain what a pool?
The readme of the project explains it very well: https://github.com/panjf2000/ants
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Parapipe - FIFO paralleling pipeline with concurrent job processing
Looks interesting, but what new concepts/features does it bring to the table compared to the already battletested ants library? Link: https://github.com/panjf2000/ants
What are some alternatives?
When comparing itogami and ants you can also consider the following projects:
ZenQ - A thread-safe queue faster and more resource efficient than golang's native channels
tunny - A goroutine pool for Go
haxmap - Fastest and most memory efficient golang concurrent hashmap
goworker - goworker is a Go-based background worker that runs 10 to 100,000* times faster than Ruby-based workers.
avo - Generate x86 Assembly with Go
workerpool - Go simple async worker pool
workerpool - Concurrency limiting goroutine pool
pond - 🔘 Minimalistic and High-performance goroutine worker pool written in Go
workerctl - worker controller for graceful shutdown
threadpool - Golang simple thread pool implementation
go - The Go programming language
go-waitgroup - A sync.WaitGroup with error handling and concurrency control