A Go library for filtering, sanitizing, and converting data with built-in rules and functions.
Filter is a Go library that provides filtering, sanitizing, and conversion functions for Golang data. It helps developers clean and normalize raw input data—such as strings, numbers, and slices—into typed, safe values using built-in rules and converters. It solves the problem of handling inconsistent or untrusted data formats in Go applications.
Go developers building web services, APIs, or data processing tools that require robust input cleaning, type conversion, or data normalization.
Developers choose Filter for its lightweight, focused API, comprehensive built-in filters, and seamless integration with Go projects, eliminating the need to write repetitive data transformation code.
⏳ Provide filtering, sanitizing, and conversion of Golang data. 提供对Golang数据的过滤,净化,转换。
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The library provides a fluent, rule-based API for filtering, as demonstrated in the Filtration example with methods like AddRule and Filtering, making data transformation code readable and maintainable.
Includes a wide range of filters such as email sanitization, URL encoding, HTML/JS escaping, and type conversions like strings to ints, reducing the need for custom implementation.
Functions like Int and String return errors for invalid input, ensuring safe data handling, unlike Must functions that can hide issues by panicking or returning defaults.
Designed to be practical without heavy dependencies, as stated in the Philosophy, making it easy to integrate into Go projects without bloating the codebase.
The README explicitly directs users to gookit/validate for filtering and validating Map and Struct data, indicating a fragmented approach that requires managing two libraries for complete data handling.
Functions like MustString ignore errors by returning default values, which can silently mask data corruption or invalid inputs, leading to potential bugs in production.
Primarily handles basic types and slices; complex nested structures or custom data types require additional manual processing or integration with other tools, as admitted by the focus on simpler transformations.