Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

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

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

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

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

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

The data-validation toolkit for enhanced dbt (data build tool) PR review

A dead simple Python string validation library.

Data validation made beautiful and powerful

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

Open Source Data Quality Monitoring.

A collaborative framework for annotating medical datasets using crowdsourcing.

Accelerates migrations to Databricks by automating key migration activities

A simple and easy to use Data Validation library for Python.

pydantic --> zod data models

A declarative PySpark framework for row- and aggregate-level data quality validation.

Snowflake Database, Schema, and Warehouse provisioning with Access Roles & Generating and Provisioning of Functional Roles & Snowflake Source Export, Snowflake cloning, and data tieout tool

Gere e valide dados randômicos com fordev 🎲

IATI datastore powered by Apache Solr. Automatically Extracts and parses IATI XML files referenced in the IATI Registry & refreshed every 3 hrs. IATI is a global initiative to improve the transparency of development and humanitarian resources and their results for addressing poverty and crises.