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feat: add great-expectations to Data Validation

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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 <noreply@anthropic.com>
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Vinta Chen
2026-10-02 12:41:04 +08:00
co-authored by Claude
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commit 804991ef79
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README.md
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@@ -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