logo | go | |
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24 | 2,075 | |
5 | 119,718 | |
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0.0 | 10.0 | |
almost 3 years ago | 3 days ago | |
Go | ||
Creative Commons Attribution 4.0 | 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.
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Ask HN: Good examples of Go back ends?
Most golang backends I've seen meanwhile use or switched to using the "gin" framework to build their APIs.
A lot of them also have conventions for the frontend, where the assets usually are stored in /public, so they can be go:embed later as an embed.FS instance into the binary.
Having said that, there's plenty of examples on github. I'd recommend to take a look at bigger projects or templates and understand how they structured their packages and abstraction levels. E.g. go-admin comes to mind [1]
[1] https://github.com/GoAdminGroup/go-admin
[2] https://github.com/gin-gonic/gin
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From Laravel to Sponge: How to Easily Develop Web Services with Golang
Excellent Performance: Sponge is built on the gin framework, providing outstanding performance for web service development.
- 6 🔥 Awesome Golang packages (web devs)
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Generate project code for a general web service(gin) to increase your development efficiency by 10 times
The web framework uses gin. It also includes swagger documents, common service governance function codes, and build and deployment scripts. You can choose which database to use.
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Gin - HTTP web framework written in GO.
GIN
- How to run background functions in go
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Fundamentals to Learn
When it comes to Web Development I would recommend taking a closer look at some standard library packages like net and encoding. Looking at some Web Development open-source frameworks / libraries might be helpful as well. Gin is one of them.
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Tools besides Go for a newbie
IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here
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Looking to build a small team for a start-up idea
The back-end is going to be written in Golang, using a Gin, Gorm, and a Postgres DB, so bonus points if you are familiar with Go!
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Can an API be merely a server that has post requests sent to it, rather than something that is installed?
Here's Express for Node.js, Flask for Python, Alfred for Dart, and Gin for Go; that's four different software packages for four completely different programming languages that all do very similar things. Take a look and see which one feels best, and start from there!
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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?
recipe-gin-postgres-api - Example of a go HTTP api using gin in zerops.io
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
viper - Go configuration with fangs
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
todo-api-microservice-example - Go microservice tutorial project using Domain Driven Design and Onion Architecture!
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
yaml - YAML support for the Go language.
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).
Express - Fast, unopinionated, minimalist web framework for node.
Angular - Deliver web apps with confidence 🚀
Squirrel - Fluent SQL generation for golang
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020