validator
go
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validator | go | |
---|---|---|
68 | 2,070 | |
15,562 | 119,564 | |
2.5% | 1.2% | |
7.4 | 10.0 | |
10 days ago | 5 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.
validator
- API completa em Golang - Parte 7
- API completa em Golang - Parte 3
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Is there any equivalent to pydantic, serde, etc?
go-playground/validator
- API completa em Golang - Parte 1
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API validation in Gin: Ensuring Data Integrity in Your API
If you want to know all the available validation in Gin. Then you can look at this package because Gin uses this package under the hood. Package: https://github.com/go-playground/validator Specific-file: https://github.com/go-playground/validator/blob/master/baked_in.go#L73
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Yet another validator 0.9.5
Now it has most of the Playground validator's common checks and a few own tricks.
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Openapi server generation
In Go I've found this package - https://github.com/go-playground/validator. It seems popular in the community, but it is tag-based. It looks like if I wanted to use it - I would have to basically duplicate structs.
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Validator in handler or domain
so I am working on a ecommerce api as a hobby project which is mostly inspired by wtf dial project I like to use validator package to remove boilerplate over my domain package for example take a look https://github.com/mortezadadgar/ecommerce-api/blob/b0bf43d042d62fdca1c2d097ec51b05bc539cef2/domain/users.go#L33 I have to option either add validate.Struct() to my domain which is suggested to avoid by author of wtf peoject or add it to handler which I doubt is a good idea as it's not in business logic of handler and makes unit testing harder
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Request Validations in Go REST API
I use https://github.com/go-playground/validator, but honestly, I am not a fan. I just haven’t found anything better.
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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
go
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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
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Why Go is great choice for Software engineering.
The Go Programming Language
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OpenBSD 7.5 Released
When Go first shipped, it was already well-documented that the only stable ABI on some platforms was via dynamic libraries (such as libc) provided by said platforms. Go knowingly and deliberately ignored this on the assumption that they can get away with it. And then this happened:
https://github.com/golang/go/issues/16606
If that's not "getting burned", I don't know what is. "Trying to provide a nice feature" is an excuse, and it can be argued that it is a valid one, but nevertheless they knew that they were using an unstable ABI that could be pulled out from under them at any moment, and decided that it's worth the risk. I don't see what that has to do with "not being as broadly compatible as they had hoped", since it was all known well in advance.
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Go's Error Handling Is Perfect
Sadly, I think that is indeed radically different from Go’s design. Go lacks anything like sum types, and proposals to add them to the language have revealed deep issues that have stalled any development. See https://github.com/golang/go/issues/57644
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
I've been writing a lot about Go and gRPC lately:
What are some alternatives?
ozzo-validation - An idiomatic Go (golang) validation package. Supports configurable and extensible validation rules (validators) using normal language constructs instead of error-prone struct tags.
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
govalidator - [Go] Package of validators and sanitizers for strings, numerics, slices and structs
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
grpc-go - The Go language implementation of gRPC. HTTP/2 based RPC
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
viper - Go configuration with fangs
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).
uuid - Go package for UUIDs based on RFC 4122 and DCE 1.1: Authentication and Security Services.
Angular - Deliver web apps with confidence 🚀
fiber-swagger - fiber middleware to automatically generate RESTful API documentation with Swagger 2.0.
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020