From 9103f59cbb50189043a9a0f43f0f86d9118cce3a Mon Sep 17 00:00:00 2001 From: Vinta Chen Date: Sat, 15 Aug 2026 23:58:22 +0800 Subject: [PATCH] prune: sweep Data Validation to the shortlist cap 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 --- README.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/README.md b/README.md index d5c23f39..d2a051c2 100644 --- a/README.md +++ b/README.md @@ -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