Great Expectations Cloud

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20260416.0 verified Fri May 01 auth: no python

Great Expectations Cloud is the managed platform for Great Expectations, enabling teams to build, monitor, and maintain data quality at scale. The current version is 20260416.0, with weekly releases following the cloud service cadence. Requires Python >=3.11.4, <3.12.

pip install great-expectations-cloud
error ModuleNotFoundError: No module named 'great_expectations_cloud'
cause Package not installed or running in wrong environment.
fix
pip install great-expectations-cloud
error TypeError: __init__() got an unexpected keyword argument 'cloud_organization_id'
cause Using old CloudDataContext constructor from core great_expectations package.
fix
Upgrade to great-expectations-cloud >=2024.0.0 and use correct import: from great_expectations_cloud import CloudDataContext
error ValueError: GX Cloud token is required
cause Missing access token.
fix
Set GX_CLOUD_ACCESS_TOKEN environment variable or pass token in the constructor.
breaking Python 3.12+ is not supported; requires <3.12.
fix Use Python 3.11.x environment.
breaking GXCloudContext has been moved to great_expectations_cloud package, old import path will fail.
fix Use 'from great_expectations_cloud import GXCloudContext' or the new CloudDataContext.
deprecated The 'ge_cloud_config.yml' file is deprecated in favor of environment variables or explicit parameters.
fix Set GX_CLOUD_ORGANIZATION_ID and GX_CLOUD_ACCESS_TOKEN environment variables.

Initialize a CloudDataContext with your organization ID and access token, then list expectation suites.

from great_expectations_cloud import CloudDataContext

context = CloudDataContext(
    cloud_organization_id="YOUR_ORG_ID",
    access_token="YOUR_TOKEN"
)
# List data assets
for asset in context.list_expectation_suites():
    print(asset.name)