Pointblank output compatibility with Great Expectations

[JanWein]

we use pointblank as the foundation for data quality in our R ecosystem. In many broader data toolchains (and especially in Python), Great Expectations (GE) has become a de facto standard, and a lot of platforms have built native integrations around GE’s result artifacts.

In our setup, for example, we use OpenMetadata as a data catalog where datasets are surfaced to users together with data quality information. OpenMetadata can natively ingest and display data quality reports and job results coming from Great Expectations.

With pointblank, we can produce excellent validation workflows and reporting within R, but there is currently no out of the box way to emit results in a standardized, GE compatible format that downstream tools already support. That makes it harder to integrate pointblank into a broader tooling ecosystem, even when pointblank is the best choice for the validation logic itself.

It would be extremely valuable if pointblank could optionally export a standardized validation result artifact aligned with Great Expectations concepts and structure.

This could be either direct export to a GE compatible result schema, or a pointblank standard schema plus a documented adapter that produces GE shaped artifacts

A GE compatible output would significantly increase interoperability with data catalogs, observability platforms, and orchestration tooling that already knows how to read GE artifacts. That could materially improve adoption of pointblank, because teams could keep pointblank for validation while still plugging into the rest of the ecosystem without custom glue code.

Is there interest in a GE compatible export?