filter

Data transformer

A utility package for processing and transforming data in Golang applications.

⏳ Provide filtering, sanitizing, and conversion of Golang data. 提供对Golang数据的过滤,净化,转换。

GitHub

151 stars
9 watching
11 forks
Language: Go
last commit: almost 2 years ago
Linked from 2 awesome lists

converterdata-conversiondata-filteringfiltergolang-packagesanitization

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
logic-building/functional-goA Go library that enables functional programming concepts such as mapping and transforming data structures in a concise and expressive way.181
gookit/validateA comprehensive data validation and filtering tool for Go1,079
cgxxv/xj2goA tool to convert data from XML or JSON formats into Go structs.34
disksing/iterProvides reusable general algorithms for common data transformations and manipulations in Go187
eun/go-convertA utility package for converting data between different types and structures in Go programming language22
usk81/genericA package providing a flexible data type in Go, allowing encoding and decoding of various data types without the need for explicit casting or switching.48
shockerli/cvtConverts data types safely and efficiently in Go programs48
gopherdata/resourcesA collection of Go-based resources and tools for data science tasks879
gurukami/typA library providing safe conversion and data retrieval functions from complex structures to basic types in Go.46
nlgranger/seqtoolsA Python library to manipulate and transform indexable data49
nofeaturesonlybugs/setA Go package that provides a performant wrapper around the official reflect package for loose type conversion and assignment into native types.47
wzshiming/gotypeA tool for parsing and manipulating Golang source code at compile-time62
go-ffmt/ffmtGolang beautifies data display by providing formatting options for humans308
drewstinnett/goutA utility package for formatting and serializing data in standard formats.17
cgarciae/phiA Python library for functional programming that aims to simplify the experience by providing a unified API and operator overloading for common data transformations and operations.134