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.
Links
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