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Pre-release

This release is a pre-release and may not be stable for production use.

DataHub Great Expectations (GX) Plugin

Send Great Expectations data quality results into DataHub — surface assertion outcomes alongside your dataset metadata so teams can see data health at a glance.

What you can do

  • Emit assertion results from GX Checkpoints directly into DataHub as data quality assertions
  • Link quality checks to datasets — results appear on the dataset's profile in DataHub
  • Track pass/fail history over time for every expectation suite
  • Works with any DataHub deployment — self-hosted or DataHub Cloud

Installation

pip install acryl-datahub-gx-plugin

Quickstart

Add the DataHub action to your GX Checkpoint:

from datahub_gx_plugin.action import DataHubValidationAction
from great_expectations.checkpoint import Checkpoint

checkpoint = Checkpoint(
    name="my_checkpoint",
    data_context=context,
    action_list=[
        {
            "name": "datahub",
            "action": {
                "class_name": "DataHubValidationAction",
                "module_name": "datahub_gx_plugin.action",
                "server_url": "http://localhost:8080",
            },
        }
    ],
)

Results from every Checkpoint run will appear in DataHub under the dataset's Validation tab.

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