13 packages tagged with “data-validation”
This package provides the functionality to utilize the features of Syncfusion® .NET Maui DataForm control and more.
A lightweight validation framework for .NET that provides a generic IValidator interface with FluentResults integration for clean validation patterns.
Wkg.AspNetCore introduces new abstractions over existing ASP .NET Core components, request-scoped database transactions, new authentication options, data validation, and more. It aims to simplify developing ASP .NET Core applications through a set of reusable components that can be easily integrated into new or existing projects, allowing for consistent and maintainable codebases and easier testing with the Wkg.AspNetCore.TestAdapters companion library.
DotNet Validator is a .NET library that contains a set of utility methods which could be used to validate or sanitize .NET data-models.
Vce( Value check extensions).
Provides unit test adapters for projects using WKG ASP.NET Core.
A modern, functional, and highly-composable validation library for .NET
Production-ready UMAP library with revolutionary HNSW optimization (50-2000x faster), spectral initialization (default), and InitializationMethod enum for explicit control. Features: 1M+ dataset support with 80-85% memory reduction, 5-level outlier detection for AI/ML validation, arbitrary dimensions (1D-50D), multiple distance metrics (Euclidean, Cosine, Manhattan, Correlation, Hamming), enhanced progress reporting, complete model persistence, and comprehensive hyperparameter control (localConnectivity, bandwidth). Perfect for production AI pipelines requiring high-quality embeddings at scale.
A comprehensive .NET validation library providing robust utilities for validating emails, URLs, IP addresses, phone numbers, user credentials, file formats, server names, domains, dates, and more. Features customizable error messages, optional field support, and regex-powered validation.
FluentValidation.Schema generates JSON schemas from FluentValidation rules, ensuring consistent client- and server-side validation. Highly customizable for any use case.
Production-ready PACMAP library with 66% smaller persistence files, 3.1-12.5x performance optimization, HNSW acceleration, and cross-platform 64-bit binaries. Features: PACMAP (Pairwise Controlled Manifold Approximation and Projection) algorithm with OpenMP 8-thread parallelization, AVX2/AVX512 SIMD optimization, HNSW (Hierarchical Navigable Small World) acceleration, optimized model persistence (v2.8.32), advanced quantization (60% storage savings), comprehensive progress reporting, model persistence, and cross-platform deployment. Perfect for production AI pipelines requiring high-performance dimensionality reduction with enterprise-grade stability and efficient storage.
Validation plugin for the Unio library. Validate extracted data using DataAnnotations and fluent validation rules. Supports multiple error handling modes: throw on first error, skip and continue, or collect all errors. Zero additional dependencies beyond the Unio core.
Package Description