Validate form asynchronous
Validate identifier/keywords name
Another JSON Schema Validator
Validate plugin/preset options
Additional JSON-Schema keywords for Ajv JSON validator
Decorator-based property validation for classes.
String validation and sanitization
Another JSON Schema Validator
Vitest test runner
Ajv class for JSON Schema draft-04
Express middleware for the validator module.
Object schema validation
Custom error messages in JSON Schemas for Ajv validator
Validate form asynchronous
validate form asynchronous
Parser/validator for OpenAPI 3.x definitions
TypeScript definitions for validator
Format validation for Ajv v7+
Automatically validate API requests and responses with OpenAPI 3 and Express.
A library for validating credit card fields
The ajv-8 based validator for @rjsf/core
Provides a fast, pretty robust e-mail validator. Only checks form, not function.
Sanity template validator for remote templates
Library to validate Fiori project input formats
Runs a set of "checks" against your objects and lets you know what passes and what fails. Use the report as a basis for proposing fixes to your users.
Set of extensible templates for [aws-must](https://github.com/jarjuk/aws-must) tool to generate CloudFormation JSON from a YAML configuration, and a Test Runner for validating correctness of CloudFormation stacks provisioned.
Shared library used by the mysql_genius Rails engine and the mysql_genius-desktop standalone app. Contains the SQL validator, query runner, database analyses, and AI services, all of which take an explicit connection abstraction (no globals, no ActiveRecord dependency).
RSpec::Llama is a testing framework that allows developers to easily configure, run, and validate AI models such as OpenAI's GPT models, Llama, and others within the RSpec ecosystem. With a focus on simplicity and extensibility, RSpec::Llama provides: - A standardized approach to configuring different AI models with customizable parameters. - Runners to execute model interactions and capture responses seamlessly. - Comprehensive assertion types to validate model outputs against expected patterns. Whether you are developing AI-powered applications or simply need a reliable way to test various AI models' outputs, RSpec::Llama offers an all-in-one solution that integrates smoothly into your existing RSpec setup.