Template condition validator

This project is a Python implementation of the JSON Schema specification, providing a library for verifying that data instances conform to defined schemas. It serves as a data validation framework capable of validating both the data itself and the schemas against official meta-schemas to ensure structural correctness. The library features a schema reference resolver that maps URIs to definitions, enabling the resolution of internal and remote references for modular schema management. It is designed for extensibility, allowing for the definition of custom keywords, custom type-checking logic,

Expr is a high-performance expression evaluation engine and language for Go applications. It functions as a dynamic rule engine that parses and executes custom logic and data validations at runtime without requiring the application to be recompiled. The system utilizes a sandboxed logic executor to run expressions without side effects. It ensures program termination by employing instruction-level loop detection to prevent infinite loops and isolates the evaluation process from the host system. The engine employs a bytecode-based virtual machine and abstract syntax tree analysis to achieve ex

The Common Expression Language specification is a formal standard for a non-Turing-complete expression language designed for safe, portable, and fast logic evaluation. It serves as a cross-language logic standard and a declarative policy language, providing a consistent semantic framework for executing boolean expressions and data transformations across different programming environments. This specification acts as an embedded expression engine that allows applications to integrate portable logic for evaluating user-defined configurations. It is specifically designed to enable safe user-defin

Expr is a statically typed expression engine and domain-specific language for parsing and evaluating dynamic logic strings within Go applications. It functions as a bytecode expression evaluator that executes compiled logic with guaranteed termination and memory safety. The engine utilizes a specialized compiler and virtual machine to achieve high-performance execution. It employs static type validation during the compilation phase to ensure operand compatibility and prevent runtime crashes. The project provides a data transformation engine capable of mapping, filtering, and aggregating coll

This library is a Java-based tool for enforcing data structure constraints and verifying technical formats against defined schema specifications. It functions as a processing utility that parses complex data structures while managing external schema references and circular dependencies. The engine distinguishes itself through an immutable processor design that enables thread-safe, concurrent validation without requiring external synchronization. It employs arbitrary-precision arithmetic to evaluate numeric constraints, preventing common floating-point rounding errors, and utilizes character-l

async-validator is a JavaScript schema validation library and asynchronous data validation engine. It verifies complex object structures and nested arrays by applying recursive rules and non-blocking, promise-based execution to ensure data integrity. The library functions as both an object constraint validator and a data transformation pipeline. It allows for the sanitization, coercion, and formatting of input values through a sequence of functions that run before and after the primary validation process. The engine covers a range of capabilities including recursive nested validation, the en

Yup is a JavaScript schema validation library used to define data shapes and validate runtime values. It functions as an object schema validator and a data coercion engine, allowing developers to transform raw input values into desired types before performing validation checks. The library is distinguished by its support for dynamic schema validation, where rules can be adjusted at runtime based on sibling field values or external context. It also enables recursive data structuring for polymorphic fields and provides a system for extracting static TypeScript interfaces from runtime schema def

govaluate is a Go expression evaluator and runtime logic parser. It functions as a dynamic rule engine that converts string-based expressions into executable operations, allowing for the calculation of mathematical and logical expressions at runtime. The library enables the execution of business rules and custom formulas without recompiling source code. It supports extending evaluation behavior through the injection of external parameters and the execution of user-defined custom functions. The system provides capabilities for dynamic data validation, including regular expression matching and

Ajv is a JSON Schema validator and schema compilation engine used to verify that JavaScript objects conform to specific JSON Schema definitions. It functions as a data coercer and localization tool, allowing for the application of default values and the translation of validation error messages into different languages. The project converts declarative JSON Schema definitions into optimized JavaScript functions to increase validation speed. It supports the extension of validation logic through custom keywords and the generation of standalone validation code that executes without external depen

RulesEngine is a business logic evaluator for .NET that executes complex rule workflows and dynamic expressions against input data. It functions as a dynamic expression evaluator and an externalized logic framework, allowing the definition and management of business rules in JSON format to change application behavior without recompiling code. The project decouples decision logic from source code by loading policies from external files or databases. It supports the registration of custom classes and methods to extend standard expression capabilities through type injection. The framework cover

cel-go is a Go implementation of the Common Expression Language, providing a type-safe engine for the evaluation of non-Turing complete, side-effect-free expressions. It functions as an embedded expression engine that converts human-readable strings into type-checked abstract syntax trees to ensure safe execution. The system utilizes a compile-once evaluate-many model, parsing and validating expressions into cached programs for repeated execution across different datasets. It further distinguishes itself as a partial state evaluator, using commutative logic to compute results and return resid

This project is a Java library designed to validate JSON documents against defined schema specifications. It functions as a standards-compliant engine that ensures data integrity by checking structural compliance and enforcing business rules within Java applications. The library distinguishes itself through its flexible validation strategies, allowing developers to inject custom logic and pattern-matching engines to handle specialized data formats. It supports configurable execution modes, enabling users to either halt validation immediately upon the first error or collect all violations for

This project is a JSON Schema validation library and framework used to verify that data instances conform to declarative definitions. It functions as a validation engine that enforces structural constraints and data types, while also serving as a meta-validator to ensure schema definitions themselves are syntactically correct against official meta-schemas. The library is designed for extensibility, allowing users to define custom validation logic by mapping schema keywords to specialized callable functions. It includes a registry-based reference resolver for managing internal and external URI

Superstruct is a JavaScript and TypeScript data validation library used to verify that data structures match defined shapes and types. It functions as a composable schema builder and a TypeScript schema validator, ensuring that runtime data checks remain synchronized with static type definitions. The library features a data coercion engine that transforms input values or injects default values before the validation process is executed. It enables the creation of complex validation rules by nesting, merging, or omitting properties from existing structures. Its capabilities cover the validatio

This project is a data validation framework for the Go programming language that enforces integrity by applying declarative constraints to struct fields. It utilizes reflection to inspect data structures at runtime, mapping field-level requirements defined in struct tags to specific validation logic. The library distinguishes itself through its ability to handle complex object graphs by recursively traversing nested structures and slices. It supports context-aware validation, allowing developers to switch between different rule sets for the same data structure based on application state or sp

class-validator is a TypeScript class validation library that uses decorators to define constraints and rules for object properties. It functions as a decorator-based schema validator that ensures data integrity and structural correctness through a combination of synchronous checks and promise-based asynchronous rules. The library provides a recursive validation system for checking complex data hierarchies, including nested classes and individual elements within collections. It includes an object property whitelist utility capable of stripping undocumented properties or blocking unknown field

This library is a declarative validation framework for Rust that enforces data integrity and business rules on structured data models. It utilizes procedural macros to transform attribute-based annotations into executable validation logic, ensuring that data structures adhere to defined constraints before processing. The framework distinguishes itself by performing validation at compile time, which eliminates runtime overhead and provides strict type checking for all rules. It supports recursive traversal of nested data structures and collections, ensuring that every level of a hierarchy is v

Fluent-validator is a Java validation framework designed to enforce data integrity through declarative constraints and automated service-layer checks. It provides a structured environment for defining validation logic that integrates with the JSR 303 specification, allowing developers to maintain consistent data quality across complex object hierarchies and application boundaries. The framework distinguishes itself through a fluent interface that enables the orchestration of validation chains, allowing for readable and maintainable rule sequences. It supports advanced execution control, inclu

Valibot is a modular, type-safe schema library for validating and parsing structural data in TypeScript environments.

Zod is a TypeScript-first schema declaration and validation library designed to ensure end-to-end data integrity. It functions as a runtime type guard, allowing developers to define complex data structures through a declarative, chainable syntax. By using these schema definitions, the library automatically derives static TypeScript types, eliminating the need for manual type duplication and ensuring that runtime data matches expected application contracts. The library distinguishes itself through functional schema composition, which enables the creation of hierarchical structures by nesting a

The expression-language is a lightweight calculation component and parser tool that compiles and evaluates single-line string expressions against runtime variables. It functions as an expression engine that parses logical expressions into executable code or evaluates them directly against provided variables and functions to power dynamic rule evaluation and configuration. The engine features a complete architecture covering lexical tokenisation, intermediate code generation, and execution caching. It parses expression strings into hierarchical abstract syntax trees to enable programmatic insp

Respect/Validation is a PHP validation library that operates on single input values through a fluent, chainable rule system. Each validator instance builds a linear constraint pipeline by appending rules to an internal stack, executing them sequentially and short-circuiting on the first failure. The library captures validation failures as structured exceptions, enabling callers to inspect detailed error metadata programmatically and respond with meaningful messages. The library distinguishes itself through its exception-based error handling model, which provides programmatic access to validat

Lightweight data validation and adaptation Python library.

⚔ 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。

READ-ONLY Validation library from CakePHP. This repo is a split of the main code that can be found in https://github.com/cakephp/cakephp

Instructor is a framework designed for structured data extraction, validation, and language model integration. It functions as a library that transforms unstructured text into validated, type-safe objects by leveraging schema definitions and model-specific tool-calling capabilities. By acting as a validation middleware, the project ensures that language model outputs strictly conform to defined data structures. The library distinguishes itself through a robust validation-based retry loop that automatically re-submits failed responses with error feedback to iteratively correct schema complianc