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Version: devel

Data quality 🧪

dltHub

This page is for dltHub Feature, which requires a license. Join our early access program for a trial license.

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🚧 This feature is under development. Interested in becoming an early tester? Join dltHub early access.

dltHub will allow you to define data validation rules in Python. This ensures your data meets expected quality standards at the ingestion step.

Key features​

With dltHub, you will be able to:

  • Define data tests and quality contracts in Python.
  • Apply both row-level and batch-level validation.
  • Enforce constraints on distributions, boundaries, and expected values.

Stay tuned for updates as we expand these capabilities! 🚀

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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