5 Repos
Constraints for verifying that input data matches specific patterns like JSON or regular expressions.
Distinct from Field Validation: Distinct from Field Validation: focuses on structural format verification rather than general integrity constraints.
Explore 5 awesome GitHub repositories matching data & databases · Format Validation Rules. Refine with filters or upvote what's useful.
Fyne is a cross-platform graphical user interface toolkit for the Go programming language. It provides a comprehensive framework for building native applications that run on desktop, mobile, and web environments from a single codebase. The toolkit centers on a canvas-based rendering engine and a device-independent layout engine, ensuring that visual elements maintain consistent dimensions and behavior across diverse operating systems and screen densities. The project distinguishes itself through a reactive data-binding system that automatically synchronizes application state with interface co
Checks user-provided text against defined patterns to ensure input matches expected formats.
Karabiner-Elements is a system-level utility designed for advanced keyboard and mouse customization. It functions as a background service that intercepts raw hardware input signals at the driver level, allowing for the transformation of key presses and pointer movements before they reach the operating system. By utilizing virtual input device emulation, the software re-injects modified events into the system stream, enabling complex remapping, macro execution, and hardware-specific control. The project distinguishes itself through a sophisticated state-based logic engine that enables context-
Checks the syntax and structure of custom configuration files to ensure they are formatted correctly.
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
Verifies that data fields conform to specified formats and supports custom format definitions.
This project is a Python port of the libphonenumber library, providing a suite of tools for parsing, formatting, and validating international phone numbers. It converts raw phone number strings into structured objects based on international numbering plans and verifies if numbers are possible or valid according to digit length and assigned exchange prefixes. The library provides metadata services to retrieve the original network carrier, geographical location descriptions, and associated time zones for specific phone numbers. It also includes tools for transforming numbers into standardized i
Verifies that parsed phone numbers match length and prefix constraints defined in regional metadata.
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
Validates input data against specific patterns like cron expressions or structured markup to ensure format compliance.