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Cognite Data Quality

SHACL-based data quality validation for Cognite Data Fusion (CDF).

Documentation

For full documentation, installation guides, deployment, and examples, see:

https://cognite-data-quality-validation.readthedocs-hosted.com/en/latest/

Latest release

See the changelog for the latest changes.

Installation

pip install cognite-data-quality

Quick Start

from cognite_data_quality import DataModelConfig, run_validation, load_cognite_client_from_toml

client = load_cognite_client_from_toml("cdf.toml")

result = run_validation(
    client=client,
    rules_path="path/to/shacl_rules.ttl",
    rules_format="ttl",
    datamodel=DataModelConfig(space="my_space", external_id="MyModel", version="v1"),
    instance_space="my_space",
    limit=10,
)
print(result.conforms, result.instance_count, len(result.violations))

For YAML-based configuration, deployment, time series validation, SHACL-native aggregate uniqueness, and more, see the documentation.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Stable release available (0.4.11)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for cognitedeploy from gravatar.com cognitedeploy

Credits

Author: Cognite

License

Apache-2.0

Requires

Python >=3.10

Provides Extra

dev

Report project as malware

Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Stable release available (0.4.11)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for cognitedeploy from gravatar.com cognitedeploy

Credits

Author: Cognite

License

Apache-2.0

Requires

Python >=3.10

Provides Extra

dev

Report project as malware

Release files for cognite-data-quality 0.5.0b3

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Source distribution for cognite-data-quality 0.5.0b3
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