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prune: sweep Data Validation to the shortlist cap

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Per ADR-0001, maintainer-adjudicated at the Data & Science preview
review (2026-08-15, all rows live-verified). Keeps jsonschema, pandera,
and pydantic as Obvious Choices for their distinct validation jobs.

Removed (downloads are PyPI last-30-days via BigQuery, 2026-08-15):

- cerberus (6.7M/month): pre-pydantic era passed; repo alive but slow
- voluptuous (8.0M/month): pre-pydantic era passed; repo description
  opens with "CONTRIBUTIONS ONLY" (maintenance mode)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Vinta Chen
2026-08-15 23:58:22 +08:00
co-authored by Claude
parent 54c0c0c34a
commit 9103f59cbb
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README.md
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@@ -501,11 +501,9 @@ _Libraries for data extraction, transformation, and loading pipelines across mul
_Libraries for validating data. Used for forms in many cases._
- [cerberus](https://github.com/pyeve/cerberus) - A lightweight and extensible data validation library.
- [jsonschema](https://github.com/python-jsonschema/jsonschema) - An implementation of [JSON Schema](https://json-schema.org/) for Python.
- [pandera](https://github.com/unionai-oss/pandera) - A data validation library for dataframes, with support for pandas, polars, and Spark.
- [pydantic](https://github.com/pydantic/pydantic) - Data validation using Python type hints.
- [voluptuous](https://github.com/alecthomas/voluptuous) - A Python data validation library primarily intended for validating data from untrusted sources.
### Data Visualization