Cross-compiler and Data Reconciler into Databricks Lakehouse
-
Updated
May 30, 2024 - Python
Cross-compiler and Data Reconciler into Databricks Lakehouse
This repository is a collection of code, documentation, and other resources that support the management and automation of a Data Science project.
Test data management tool for any data source, batch or real-time
OpenMetadata is a unified platform for discovery, observability, and governance powered by a central metadata repository, in-depth lineage, and seamless team collaboration.
⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
Powerful CSV & Excel Import experience for SaaS 🚀 Save months building data import experience from scratch 💰
Tutorial for Pydantic and SQLAlchemy
Modding Argilla for validating AI-assisted document data extractions
Assorted tools for data modeling, ETL, and web scraping.
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.
Data Guard is a robust web application designed for managing user authentication and CSV data uploads with extensive validation. This system ensures data integrity and provides an easy-to-use interface for managing user data.
Validator for the Brain Imaging Data Structure
ValidateMe is a Java library designed to provide data validation capabilities.
pydantic --> zod data models
Example API implementation for Data Caterer
Client interface for all things Cleanlab Studio
A light-weight, flexible, and expressive statistical data testing library
Coercion and validation for data structures
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.
Add a description, image, and links to the data-validation topic page so that developers can more easily learn about it.
To associate your repository with the data-validation topic, visit your repo's landing page and select "manage topics."