1.pydantic / pydantic
Data validation using Python type hints
Ranked by Attention Score: stars gained over the last 7 complete days
24 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
Data validation using Python type hints
structured outputs for llms
📋 React Hooks for form state management and validation (Web + React Native)
A light-weight, flexible, and expressive statistical data testing library
The JSON Schema specification
:100:Go Struct and Field validation, including Cross Field, Cross Struct, Map, Slice and Array diving
The modular and type safe schema library for validating structural data 🤖
String validation
A configuration as code language with rich validation and tooling.
Decorator-based property validation for classes.
:white_check_mark: A Go library for email verification without sending any emails.
Go with Zod inspired simple schema validation
Phantom types for Python.
The most powerful data validation library for JS
An idiomatic Go (golang) validation package. Supports configurable and extensible validation rules (validators) using normal language constructs instead of error-prone struct tags.
Full-stack CRUD, simplified, with SSOT TypeScript entities
Fast, dependency-free Go package to infer binary file types based on the magic numbers header signature
High-performance data-driven data specification library for Clojure/Script.
The modular and type-safe form library for SolidJS, Qwik and Preact
The official Firely .NET SDK for HL7 FHIR
One Line to throttle, debounce and delay: Say Goodbye to Reactive Programming such as RxSwift and Combine.
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.
Zero-dependency Go input validation, in-place normalization, and JSON Schema generation from struct tags.
OCaml library designed to streamline the process of validating records, variants, lists, or values. It primarily operates through a PPX deriver that automatically generates validators.