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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.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
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 Contracts engine for the modern data stack. https://www.soda.io
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
Data validation toolkit for assessing and monitoring data quality.