Projects sharing features with Dry Validation

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

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

Ajv is a high-performance data validation framework that compiles JSON schemas into optimized, standalone JavaScript functions. By transforming declarative schema definitions into executable code, it eliminates runtime interpretation overhead and provides a secure, efficient way to enforce data integrity across both browser and server environments. The library distinguishes itself through its focus on performance and type safety. It employs advanced compilation techniques, including abstract syntax tree optimization and function caching, to ensure rapid validation. Beyond standard checks, it

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

Pandera is a data pipeline validation framework and statistical type validation tool. It functions as a library for defining and enforcing schemas on datasets to ensure data quality and consistency, specifically providing validation capabilities for Pandas dataframes. The project includes a schema inference tool that automates setup by analyzing existing dataset samples to generate validation schemas. It also serves as a synthetic data generator, creating artificial datasets based on predefined schemas to verify data-producing functions. The framework covers data engineering quality assuranc

v8n is a JavaScript data validation library used to verify that values, objects, and arrays meet specific criteria. It functions as a schema-based validator and an asynchronous validation engine, utilizing a fluent API to construct sequences of chainable rules and constraints. The framework is distinguished by its ability to execute promises and network requests during the validation process to determine if a value is valid. It allows for the creation of reusable validation schemas and provides a customizable rule framework where users can define their own logic and configure how error result

msgspec is a high-performance data modeling, serialization, and schema validation toolkit for Python. It serves as a type-safe serialization framework that integrates schema enforcement and data parsing into a single pass, functioning as both a data serialization library and a schema validation system based on standard Python type annotations. The project distinguishes itself through high-performance structural primitives, including compilation-based routine generation and zero-copy buffer parsing. It optimizes memory usage via garbage collection-aware layouts and reduces processing overhead

AWS Powertools for Python is a utility framework designed for building production-ready Python functions on AWS Lambda. It provides a comprehensive suite of tools for observability, event parsing, routing, and idempotency management to streamline the development of serverless applications. The project distinguishes itself through specialized capabilities for event-driven architectures and AI agent orchestration. It enables the implementation of AI agents by exposing functions as tools via OpenAPI schemas and managing conversation states. Additionally, it features an idempotency library that p

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

Toon is a data serialization library and toolkit designed to convert complex objects into compact, human-readable formats optimized for large language models. By focusing on token efficiency, the library minimizes the context window footprint of structured data through techniques like key folding and tabular layout optimization. It provides a streaming-capable processor that handles the encoding and decoding of hierarchical data while maintaining structural integrity. The project distinguishes itself through its path-aware transformation pipeline and configurable serialization logic, which al

TypeBox is a JSON schema generator and TypeScript data validator. It functions as a type builder that creates compliant JSON schema definitions while providing a mechanism for synchronizing runtime validation logic with compile-time types. The project allows for the automatic derivation of static TypeScript interfaces from schema definitions to eliminate redundant type declarations. It converts complex type constructs into schema fragments and resolves static types to maintain consistency between data shapes and code. The system covers runtime type checking and data validation through the us

Goa is a design-first Go framework that generates server and client code, documentation, and request validation from a single declarative domain-specific language (DSL). At its core, it provides a Go DSL for defining API endpoints, data types, and error models, which compiles into fully functional HTTP and gRPC server stubs, client packages, and OpenAPI specifications. The framework distinguishes itself through its plugin-extensible code generation pipeline, allowing custom code generation steps, middleware, or transport layers to be added via plugins. It supports multiple transport protocols

This library is a PHP framework for enforcing data integrity and business rules by validating scalar values and complex object structures against predefined constraints. It provides a structured approach to inspecting object graphs and property metadata, ensuring that data conforms to expected requirements before it is processed by an application. The framework distinguishes itself through a metadata-driven mapping system that uses reflection or configuration files to apply rules directly to object properties. It supports contextual rule orchestration, allowing developers to organize constrai

This project is a reactive, offline-first NoSQL database engine designed for JavaScript applications. It provides a robust framework for managing application state by synchronizing data across browsers, mobile devices, and server-side runtimes. By treating local storage as the primary source of truth, it enables applications to remain functional without network connectivity, automatically reconciling changes with remote backends once a connection is restored. The database distinguishes itself through a modular architecture that supports cross-environment synchronization and high-performance d

express-validator is a server-side input validation library designed specifically for Express.js applications. It provides middleware that validates and sanitizes incoming HTTP request data against developer-defined rules, collecting all validation failures into a single array for simultaneous error reporting rather than failing on the first error. The library offers a chainable validation API where rules are built by chaining methods on a validation chain object, enabling declarative specification of multiple validators and sanitizers for a single request field. Each validation chain operate

This library provides a type system for Ruby applications, offering a framework for defining, validating, and coercing data structures. It serves as a foundation for maintaining data integrity by ensuring that input values conform to established schemas and constraints before they are processed by application logic. The system distinguishes itself through a functional approach to data transformation and validation. It utilizes an immutable registry for type definitions and employs algebraic operators to compose complex, nested schemas from smaller, reusable components. By wrapping validation

ozzo-validation is a programmable data validation library for Go that verifies structs, maps, and primitive types using a declarative, rule-based approach. It functions as an interface-based validator, allowing for the recursive checking of nested data structures and custom types without the use of struct tags. The framework distinguishes itself as a context-aware validation engine, supporting the propagation of request-scoped data to rules that depend on external state. It provides extensive extensibility through custom rule definitions and the ability to override default failure text with l

RapidJSON is a header-only C++ library designed for high-performance parsing, generation, and manipulation of JSON data. It functions as a dual-mode engine, providing both an in-memory document object model for tree-based manipulation and a stream-based interface for event-driven processing. The library is built to minimize memory footprint and maximize execution speed, making it suitable for resource-constrained environments. The library distinguishes itself through advanced memory management and optimization techniques, including in-situ parsing that modifies input buffers directly to elimi

validator.js is a JavaScript string validation and sanitization library. It provides a set of functions to verify that strings match specific patterns—such as emails, URLs, and alphanumeric formats—and a toolkit for cleaning and transforming text input to remove prohibited characters and trim whitespace. The library includes utilities for standardizing email addresses by lowercasing domains and removing sub-addressing markers. It also functions as an HTML entity escaper, replacing special characters with entities to prevent the browser from executing text as code. The project covers capabili

re-frame is a functional framework for building single-page applications in ClojureScript. It provides a centralized, immutable database that serves as the single source of truth for the entire application state, enforcing a strict unidirectional data flow where events trigger state transitions and subsequent view updates. The framework distinguishes itself through a reactive signal graph and an interceptor-based middleware pipeline. By treating application logic as a sequence of data-driven events and declarative side effects, it decouples business logic from the view layer. This architectur

Inertia is a server-driven frontend framework designed to create monolithic single page applications. It acts as a state synchronization protocol and client-side routing bridge, allowing developers to build interactive experiences using modern JavaScript component libraries while keeping routing and controllers on the server. This approach eliminates the need for a separate REST or GraphQL API layer by passing data from server controllers to frontend components as props via JSON payloads. The framework distinguishes itself by utilizing adapter-based integration to link various backend environ

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

Eleventy is a JavaScript-based static site generator designed to transform templates, data files, and markdown into optimized HTML. It functions as a versatile template rendering engine and content management framework, allowing developers to aggregate data from diverse sources—including local files, databases, and external APIs—to populate structured web content. The project is distinguished by its template-engine-agnostic pipeline, which decouples the build process from specific rendering languages. This allows users to integrate multiple template formats, such as Liquid, Nunjucks, Handleba

Great Expectations is a data quality testing framework and observability platform designed to monitor the reliability of data pipelines. It provides a structured environment for defining, documenting, and automating data quality assertions, allowing teams to validate datasets against expected structure and content before they move through downstream processes. The project distinguishes itself through a declarative domain-specific language that stores quality rules as version-controlled configuration files. It utilizes an execution engine abstraction to translate these high-level assertions in

Ecto is an Elixir database toolkit that maps database rows to Elixir structs and validates data changes through changesets before persistence. It provides a language-integrated query syntax for composing database queries, building them incrementally and securely with compile-time expansion into safe SQL. The toolkit connects to multiple database backends including PostgreSQL, MySQL, MSSQL, SQLite3, ClickHouse, and ETS through a pluggable adapter interface. It supports eager and lazy preloading of associated records to eliminate N+1 query problems, and can store nested data structures as embed

This library provides a comprehensive system for defining data schemas and enforcing structural integrity within JavaScript applications. It enables developers to construct declarative rules for complex, nested objects, ensuring that data conforms to expected types and constraints before it is processed or stored. By integrating directly with the Meteor framework, it serves as a central tool for maintaining consistent data structures across collections and remote procedure calls. The project distinguishes itself through its deep integration with reactive data systems, allowing validation stat

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