easyjson
Testify
easyjson | Testify | |
---|---|---|
10 | 64 | |
4,350 | 22,073 | |
0.8% | 1.1% | |
2.3 | 8.6 | |
7 days ago | 5 days ago | |
Go | Go | |
MIT License | MIT 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.
easyjson
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Google's Go may add telemetry reporting that's on by default
Compile time means you catch issues at... well compile time. It also means that the code is optimized. You can look at the performance different between encoding/json and easyjson for why you may desire that.
- JSON encoder/decoder supporting omitempty on structs
- TinyGo Reflection?
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Wasm difficulties in Rust, Haskell, and Go
easyjson produced an empty file
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Using a json lib other than encoding/json
There is https://github.com/mailru/easyjson out there if you are absolutely sure that serialization is the bottleneck. Otherwise I'd go for stdlib.
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What type of software do you write at your workplace?
https://github.com/mailru/easyjson fast JSON (de)serializer which go generates code instead of using reflect at runtime.
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Whats the fastest JSON unmarshaling package as of right now?
If you know the schema of the JSON ahead of time and you need to parse the whole object, I would recommend https://github.com/mailru/easyjson as that will likely give you the fastest result. This works in almost all use cases, and easy to use features such as string interning can save you a lot of time on memory allocation if you parse a lot of JSON objects with identical values.
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Some Go(lang) tips
What to use Easyjson is about the top of the pack and it's straightforward. The downside of efficient tools is that they use code generation to create the code required to turn your structs into json to minimise allocations. This is a manual build step which is annoying. Interestingly json-iterator also uses reflection but it's significantly faster. I suspect black magic.
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Is there a JSON parsing library that generates specialized code for types?
I'm looking for something similar to https://github.com/mailru/easyjson where one can generate a concrete JSON parser for some types.
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Обережно кодогенерація
Бібліотека easyjson теж для серіалізації працює через додатковий код замість використання рефлексії. Але після внесення в easyjson одної з оптимізацій, час від часу почали отримувати зламаний JSON, ось приклад тесту який покаже помилку.
Testify
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What 3rd-party libraries do you use often/all the time?
github.com/stretchr/testify
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Testing calls to Daily's REST API in Go
I then verify that there are no issues with writing the body with require.NoError() from the testify toolkit. This will ensure the test fails if something happens to go wrong at this point.
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Gopher Pythonista #1: Moving From Python To Go
For testing purposes, Go provides a go test command that automatically discovers tests within your application and supports features such as caching and code coverage. However, if you require more advanced testing capabilities such as suites or mocking, you will need to install a toolkit like testify. Overall, while Go provides a highly effective testing experience, it's worth noting that writing tests in Python using pytest is arguably one of the most enjoyable testing experiences I have encountered across all programming languages.
- Why elixir over Golang
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How to start a Go project in 2023
Things I can't live without in a new Go project in no particular order:
- https://github.com/golangci/golangci-lint - meta-linter
- https://goreleaser.com - automate release workflows
- https://magefile.org - build tool that can version your tools
- https://github.com/ory/dockertest/v3 - run containers for e2e testing
- https://github.com/ecordell/optgen - generate functional options
- https://golang.org/x/tools/cmd/stringer - generate String()
- https://mvdan.cc/gofumpt - stricter gofmt
- https://github.com/stretchr/testify - test assertion library
- https://github.com/rs/zerolog - logging
- https://github.com/spf13/cobra - CLI framework
FWIW, I just lifted all the tools we use for https://github.com/authzed/spicedb
We've also written some custom linters that might be useful for other folks: https://github.com/authzed/spicedb/tree/main/tools/analyzers
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Do you wrap testing libraries?
Im thinking in wrap or not the library https://github.com/stretchr/testify to do my tests.
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[Go] How to unit test for exception handling?
Are you limited to the std lib, or can you use testify? You can require things like require.Error()
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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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Is gomock still maintained and recommended?
To answer OP directly, I am largely quite happy with mockery (and testify) to write expressive tests.
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Golang, GraphQL y Postgress
Como herramientas te recomiendo: FastJson https://github.com/valyala/fastjson : Si necesitas leer jsons Testify https://github.com/stretchr/testify : Para mockear y testear
What are some alternatives?
fastjson - Fast JSON parser and validator for Go. No custom structs, no code generation, no reflection
ginkgo - A Modern Testing Framework for Go
jsoniter - A high-performance 100% compatible drop-in replacement of "encoding/json"
GoConvey - Go testing in the browser. Integrates with `go test`. Write behavioral tests in Go.
go-json - Fast JSON encoder/decoder compatible with encoding/json for Go
gomega - Ginkgo's Preferred Matcher Library
gogoprotobuf - [Deprecated] Protocol Buffers for Go with Gadgets
gomock - GoMock is a mocking framework for the Go programming language.
simdjson-go - Golang port of simdjson: parsing gigabytes of JSON per second
gotest.tools - A collection of packages to augment the go testing package and support common patterns.
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
go-cmp - Package for comparing Go values in tests