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1.7.0.14

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acryl-datahub-gx-plugin

DataHub Great Expectations plugin — send data quality assertion results from GX checkpoints into your DataHub catalog

Published29 Sept 2026
Direct dependencies37
Transitive dependenciesNot calculated

README

Version 1.7.0.14 documentation

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

Compatibility

GX versionModule
0.17.x / 0.18.xdatahub_gx_plugin.action.DataHubValidationAction
1.xdatahub_gx_plugin.action_v1.DataHubValidationAction

Both APIs are supported additively in the same package. Use the module that matches your installed GX major version.

Installation

pip install acryl-datahub-gx-plugin

Quickstart (GX 0.17 / 0.18)

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",
            },
        }
    ],
)

Quickstart (GX Core 1.x)

import great_expectations as gx
from datahub_gx_plugin.action_v1 import DataHubValidationAction

context = gx.get_context()
# ... create validation_definitions ...

checkpoint = context.checkpoints.add(
    gx.Checkpoint(
        name="my_checkpoint",
        validation_definitions=validation_definitions,
        actions=[
            DataHubValidationAction(
                name="datahub",
                server_url="http://localhost:8080",
                # Optional when batch_spec meta is incomplete:
                # platform="postgres",
                # dataset_name="public.my_table",
            )
        ],
    )
)
checkpoint.run()

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

Links

Downloads & popularity

Awaiting observations

No metric observations yet

Download counts and popularity will appear here as the collector receives them.

Declared dependencies 114

Native requirements
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acryl_datahub_gx_plugin-1.7.0.14-py3-none-any.whl

bdist_wheel · 19.52 KB · Python py3

Source file
acryl_datahub_gx_plugin-1.7.0.14.tar.gz

sdist · 19.16 KB · Python source

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acryldata/datahub

Shared repository data · GitHub

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datahub-project/datahub

Shared repository data · GitHub

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Observed since 20 Oct, 18:27 UTC

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package_version:7a184daef02e96e8f20e35c9c7a6a4b7bddad7723e0ba1155fdd6765db384f66

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