A React component for building Web forms from JSON Schema.

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Lightweight, extensible data validation library for Python

A light-weight, flexible, and expressive statistical data testing library

⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

Validation library with type-safe schemas and rules

Automatically find issues in image datasets and practice data-centric computer vision.

Data quality assessment and metadata reporting for data frames and database tables

Google ReCaptcha package for Laravel

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

Coercion and validation for data structures

A proxy that validates responses and requests against an OpenAPI document. https://www.npmjs.com/package/openapi-cop https://hub.docker.com/r/lxlu/openapi-cop

Elegant, highly efficient data validation for JavaScript.

Data Cleaning Libraries with Python

A dead simple Python string validation library.

⚓ Eurybia monitors model drift over time and securizes model deployment with data validation

Typical: Fast, simple, & correct data-validation using Python 3 typing.

Validator for the Brain Imaging Data Structure