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TypeScript-first schema validation with static type inference
#4799 · +2 · 1d ·GitHub
Its powerful technical tools start with Expectations: expressive and extensible unit tests for your data. Expectations foster collaboration by giving teams a common language to express data quality tests in an intuitive way.
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
They return type error to avoid the issue discussed in the following, where err is always != nil:
#5509 · +1 · 1d ·GitHub
A simple React component capable of using JSON Schema to declaratively build and customize web forms.
The most powerful data validation library for JS
#8412 · +0 · 1d ·GitHub
4 core scan, test, diff, and direct OOXML repair workflows work locally without Microsoft Excel, LibreOffice, an AI key, or a cloud service. Those normal workflows do not calculate formulas, execute VBA, open embedded objects, or fetch external links. xlsm files remain read-only.