Repository Index

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

• pandas-profiling
• pandas-dataframe
• statistics
• jupyter-notebook

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.

• data-drift
• jupyter-notebook
• pandas-dataframe
• machine-learning

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

• pandas
• validation
• schema
• dataframes

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.

• machine-learning
• ml
• model-validation
• data-validation

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

• python
• pandas
• spark
• data

Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.

• pandas
• dataframe
• validation
• polars

Open, audit-grade agentic data quality framework with portable industry packs

• agentic-ai
• airflow
• data-engineering
• data-quality