dqx

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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.

The Open Source Feature Store for AI/ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Visualize and compare datasets, target values and associations, with one line of code.

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

FeatHub - A stream-batch unified feature store for real-time machine learning

:whale: Tool to automate data quality checks on data pipelines

The Lakehouse Engine is a configuration driven Spark framework, written in Python, serving as a scalable and distributed engine for several lakehouse algorithms, data flows and utilities for Data Products.

Possibly the fastest DataFrame-agnostic quality check library in town.