go-clean-arch
go
go-clean-arch | go | |
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11 | 2,075 | |
8,697 | 119,718 | |
- | 0.7% | |
4.5 | 10.0 | |
11 days ago | 4 days ago | |
Go | Go | |
MIT License | BSD 3-clause "New" or "Revised" License |
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.
go-clean-arch
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Where can I find well-written go code to learn from?
I'm working on a project that makes use of Hexagonal Architecture to keep things loosely coupled and I learned golang recently. So, I would recommend you to check out Go clean arch, I think you can a learn a lot from it.
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A Go (Golang) Backend Clean Architecture Project
Try this
- Go project written in clean code architecture
- Best practices for structuring Go HTTP applications
- What is the best way to structure your golang application ?
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Framework or advices for API
It will be good to have a look at the Go (Golang) Clean Architecture based on Uncle Bob's Clean Architecture https://github.com/bxcodec/go-clean-arch
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Any suggestions for a beginner to build a microservice using Go with ES?
Has anyone come across any Golang repo like go-clean-arch which uses elasticsearch? As I am a beginner and wanted to have a bit of practice of building microservice using Go with Elasticsearch.
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Any good resources to learn Elasticsearch with Golang?
Thanks, everyone. I am able to understand a few things using go-elasticsearch. Though Olivere/elastic is simpler, it is not future-proof. I just wanted a repository similar to cleanarchitecture which uses elasticsearch, on the top of which I can practice. Please provide a link here if anyone has come across such a repo.
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7 subjects (and GitHub repositories) to become a better Go Developer
View on GitHub
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Hmmm... How should I structure my Go project?
https://threedots.tech/post/introducing-clean-architecture/ https://github.com/bxcodec/go-clean-arch
go
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Go: the future encoding/json/v2 module
A Discussion about including this package in Go as encoding/json/v2 has been started on the Go Github project on 2023-10-05. Please provide your feedback there.
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Evolving the Go Standard Library with math/rand/v2
I like the Principles section. Very measured and practical approach to releasing new stdlib packages. https://go.dev/blog/randv2#principles
The end of the post they mention that an encoding/json/v2 package is in the works: https://github.com/golang/go/discussions/63397
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Microsoft Maintains Go Fork for FIPS 140-2 Support
There used to be the GO FIPS branch :
https://github.com/golang/go/tree/dev.boringcrypto/misc/bori...
But it looks dead.
And it looks like https://github.com/golang-fips/go as well.
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Borgo is a statically typed language that compiles to Go
I'm not sure what exactly you mean by acknowledgement, but here are some counterexamples:
- A proposal for sum types by a Go team member: https://github.com/golang/go/issues/57644
- The community proposal with some comments from the Go team: https://github.com/golang/go/issues/19412
Here are some excerpts from the latest Go survey [1]:
- "The top responses in the closed-form were learning how to write Go effectively (15%) and the verbosity of error handling (13%)."
- "The most common response mentioned Go’s type system, and often asked specifically for enums, option types, or sum types in Go."
I think the problem is not the lack of will on the part of the Go team, but rather that these issues are not easy to fix in a way that fits the language and doesn't cause too many issues with backwards compatibility.
[1]: https://go.dev/blog/survey2024-h1-results
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
Now, I’m not going to use C++ again; I left that chapter years ago, and it’s not going to happen. C++ isn’t memory safe and easy to use and would require extended time for developers to adapt. Rust is the new kid on the block, but I’ve heard mixed opinions about its developer experience, and there aren’t many libraries around it yet. LLRD is too new for my taste, but **Go** caught my attention.
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How to use Retrieval Augmented Generation (RAG) for Go applications
Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited for their solution. Python has typically been the go-to language when it comes to AI/ML solutions, but there is more flexibility in this area. In this post you will see how to leverage the Go programming language to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with langchaingo. If you are a Go developer who wants to how to build learn generative AI applications, you are in the right place!
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From Homemade HTTP Router to New ServeMux
net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements
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Building a Playful File Locker with GoFr
Make sure you have Go installed https://go.dev/.
- Fastest way to get IPv4 address from string
- We now have crypto/rand back ends that ~never fail
What are some alternatives?
golang-standards/project-layout - Standard Go Project Layout
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
recipes - 📁 Examples for 🚀 Fiber
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
go-backend-template - Clean architecture based backend template in Go.
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
awesome-elasticsearch - A curated list of the most important and useful resources about elasticsearch: articles, videos, blogs, tips and tricks, use cases. All about Elasticsearch!
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
uber-style-guide-ja
Angular - Deliver web apps with confidence 🚀
clean-go-article - A reference for the Go community that covers the fundamentals of writing clean code and discusses concrete refactoring examples specific to Go.
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020