From 804991ef7990e879030f13fa2f6a6b6220edf16a Mon Sep 17 00:00:00 2001 From: Vinta Chen Date: Fri, 2 Oct 2026 12:41:04 +0800 Subject: [PATCH] feat: add great-expectations to Data Validation Data Validation omitted great-expectations, the most-installed data quality framework at 19,340,380 downloads/month (pypistats 2026-10-02), more than twice pandera's 8,170,879; the audit left it out only because it requires Python <3.14, which the Python-version rule no longer treats as grounds for exclusion. Co-Authored-By: Claude --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index aa889719..4819b9ac 100644 --- a/README.md +++ b/README.md @@ -522,6 +522,7 @@ _Libraries for validating data. Used for forms in many cases._ - [pydantic](https://github.com/pydantic/pydantic) - Data validation using Python type hints. - [jsonschema](https://github.com/python-jsonschema/jsonschema) - An implementation of [JSON Schema](https://json-schema.org/) for Python. +- [great-expectations](https://github.com/fivetran/great_expectations) - A data quality framework for validating, documenting, and profiling data with declarative expectations. - [pandera](https://github.com/unionai-oss/pandera) - A data validation library for dataframes, with support for pandas, polars, PySpark, and more. ### Data Visualization