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. (by go-ozzo)
Gorgonia
Gorgonia is a library that helps facilitate machine learning in Go. (by gorgonia)
| ozzo-validation | Gorgonia | |
|---|---|---|
| 13 | 21 | |
| 3,574 | 5,350 | |
| 0.9% | 0.5% | |
| 0.0 | 2.5 | |
| about 1 month ago | about 1 month ago | |
| Go | Go | |
| MIT License | Apache License 2.0 |
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.
ozzo-validation
Posts with mentions or reviews of ozzo-validation.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-06.
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Is there any equivalent to pydantic, serde, etc?
go-ozzo/ozzo-validation
- Request Validations in Go REST API
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Suggestion for a dynamic Struct Validation Rules
https://github.com/go-ozzo/ozzo-validation Seems to do what I need but likely will need some convoluted reflection to build out the rules. Also likely some custom rules to be written which is okay since it's a one time cost and reuse in the expressions.
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Proper validation package suggestion
Personally I use ozzo validation: https://github.com/go-ozzo/ozzo-validation
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Valgo is a type-safe, expressive, and extensible validator library for Golang.
This looks useful, but what differentiates it from something like https://github.com/go-ozzo/ozzo-validation ? Why would I use Valgo over something battle tested that follows a very similar pattern?
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Why use go over node?
This is where it gets spicy: I just don't get at all who ever though this struct-tag based validation library was a good idea https://github.com/go-playground/validator - and yet it's the most mainstream one. Try to implement your own type, you're up to register some global validation tag and repeat it every time you're using that type. I'm grateful https://github.com/go-ozzo/ozzo-validation exists, that's what I use. But it's still way behind the other things I mention, where in general, it's simply not possible to pass around an invalid struct - because it can't be built if it's invalid in the first place.
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Gin vs Echo framework
Gin comes with built-in "validation", while Echo recommends the same validator. I am also not a fan of magic struct tags, so I would probably prefer either writing my own or using something like ozzo.
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What type of software do you write at your workplace?
Other packages of note: https://github.com/uber-go/zap https://github.com/go-ozzo/ozzo-validation
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is there any package to generate validation code for struct instead of using reflect (tags)?
Does https://github.com/go-ozzo/ozzo-validation meet your requirements?
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How do you validate your structures?
https://github.com/go-ozzo/ozzo-validation/blob/v3.6.0/struct.go#L61
Gorgonia
Posts with mentions or reviews of Gorgonia.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-06.
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Machine Learning en GO! 🤯
GitHub - gorgonia/gorgonia: Gorgonia is a library that helps facilitate machine learning in Go.
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Machine Learning
I did end up writing and using a custom library for Random Forest (it's also in AwesomGo) in one real-world project (detecting Alzheimer's and Parkinson's from speech from a mobile app) - https://github.com/malaschitz/randomForest I had better results than the team who used TensorFlow and most importantly I didn't have to use any other technology than Go. For NN's it's probably best to use https://gorgonia.org/ - but it's not exactly a user friendly library. But there is a whole book on it - Hands-On Deep Learning with Go.
- Why isn’t Go used in AI/ML?
- GoLang AI/ML open source projects
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A systematic framework for technical documentation authoring
Perhaps it's a product of French culture, but because Gorgonia[0] has a number of French contributors, this was actually the way we structured our documentation.
But this is the first time I've heard of the name of the framework.
[0]: https://gorgonia.org
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[D] When was the last time you wrote a custom neural net?
Oh it's.Gorgonia
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Most Popular GoLang Frameworks
Website: https://gorgonia.org
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[D] What framework are you using?
I use Gorgonia.
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Why can't Go be popular for machine learning?
What you think about this https://github.com/gorgonia/gorgonia ? I also recall there is something else out there but can't find it at the moment...
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Neural networks in golang
Yep, all of them: https://github.com/gorgonia/gorgonia
What are some alternatives?
When comparing ozzo-validation and Gorgonia you can also consider the following projects:
validator - :100:Go Struct and Field validation, including Cross Field, Cross Struct, Map, Slice and Array diving
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
Password validator library for Go - Flexible and customizable password validation
GoLearn - Machine Learning for Go
govalidator - [Go] Package of validators and sanitizers for strings, numerics, slices and structs
tfgo - Tensorflow + Go, the gopher way
Validate - ⚔ Go package for data validation and filtering. support Map, Struct, Form data. Go通用的数据验证与过滤库，使用简单，内置大部分常用验证、过滤器，支持自定义验证器、自定义消息、字段翻译。
goml - On-line Machine Learning in Go (and so much more)
protoc-gen-validate - Protocol Buffer Validation - Being replaced by github.com/bufbuild/protovalidate
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
postcode - Small Golang package for validating postal codes
bayesian - Naive Bayesian Classification for Golang.
ozzo-validation vs validator
Gorgonia vs onnx-go
ozzo-validation vs Password validator library for Go
Gorgonia vs GoLearn
ozzo-validation vs govalidator
Gorgonia vs tfgo
ozzo-validation vs Validate
Gorgonia vs goml
ozzo-validation vs protoc-gen-validate
Gorgonia vs gosseract
ozzo-validation vs postcode
Gorgonia vs bayesian