google-cloud-datacatalog
Google Cloud Datacatalog API client library
Decision gist · record as of 2026-08-14
Yes. This package is worth installing if you are building applications on Google Cloud Platform that need to integrate with Data Catalog for metadata management, discovery, or governance. It is actively maintained, has no known vulnerabilities, low installation friction, and sits in the top 1000 PyPI packages. The permissive Apache-2.0 license poses no restrictions. The main constraint is that it requires Python >= 3.10 and GCP authentication, so verify your environment and project setup before adoption.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10.
- Google Cloud authentication must be configured (via Application Default Credentials, service account key, or environment variable) before client instantiation.
- Low friction installation via pip with a pure-Python wheel.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and open-source projects with minimal restrictions beyond attribution and liability disclaimers.
last release 2026-06-03 (72 days) · last repo commit 2026-08-14 · 5,371 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 47,190,915 downloads/mo, #602 on PyPI
Alternatives
Verify before relying
pip install google-cloud-datacatalog
from google.cloud import datacatalog_v1
client = datacatalog_v1.DataCatalogClient()
project_id = 'your-project-id'
name = client.common_project_path(project_id)
results = client.search_catalog(request={'scope': {'include_project_ids': [project_id]}})- Whether the package supports offline or local-only metadata operations, or if all operations require active GCP connectivity.
- Performance characteristics and rate limits for large-scale metadata queries or bulk tagging operations.
- Whether custom metadata schemas or extensions are supported beyond the standard Data Catalog model.
What it is and what it does
This is the official Python client library for Google Cloud Data Catalog, a fully managed metadata and data discovery service on Google Cloud Platform. It wraps the Data Catalog API, allowing you to programmatically search for data assets, manage metadata, create and update catalog entries, and organize data governance at scale. The library depends on google-api-core, google-auth, grpcio, proto-plus, protobuf, and grpc-google-iam-v1 to handle authentication, gRPC communication, and protocol buffer serialization.
The package is production-ready (Development Status 5), actively maintained, and supports Python 3.10 through 3.14. It is designed for developers building data governance, data lineage, or asset discovery workflows on GCP. Authentication is mandatory and must be set up before use; the library does not include offline or local-only modes.
Use it for
- Build a data discovery portal that searches across all data assets in your GCP organization and returns metadata-enriched results.
- Automate metadata tagging and governance workflows by programmatically creating and updating catalog entries for data warehouses, lakes, and pipelines.
- Integrate data lineage tracking into a custom data governance dashboard by querying Data Catalog for asset relationships and ownership.
- Sync metadata from external data sources (databases, data lakes) into Data Catalog for centralized discovery and compliance auditing.
- Implement role-based access control and data classification by attaching business metadata and tags to catalog entries via the API.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This package is worth installing if you are building applications on Google Cloud Platform that need to integrate with Data Catalog for metadata management, discovery, or governance. It is actively maintained, has no known vulnerabilities, low installation friction, and sits in the top 1000 PyPI packages. The permissive Apache-2.0 license poses no restrictions. The main constraint is that it requires Python >= 3.10 and GCP authentication, so verify your environment and project setup before adoption.
Install
google-cloud-datacatalog on PyPI
Before you install
Low friction installation via pip with a pure-Python wheel. The package is actively maintained with a recent release (72 days ago) and sits in the top 1000 most-downloaded PyPI packages, indicating stable production use.
Requires Python >= 3.10. Google Cloud authentication must be configured (via Application Default Credentials, service account key, or environment variable) before client instantiation.
License in practice
Licensed under Apache-2.0 (permissive), allowing use in commercial and open-source projects with minimal restrictions beyond attribution and liability disclaimers.
Quickstart
pip install google-cloud-datacatalog
from google.cloud import datacatalog_v1
client = datacatalog_v1.DataCatalogClient()
project_id = 'your-project-id'
name = client.common_project_path(project_id)
results = client.search_catalog(request={'scope': {'include_project_ids': [project_id]}})Verify before relying
- Whether the package supports offline or local-only metadata operations, or if all operations require active GCP connectivity.
- Performance characteristics and rate limits for large-scale metadata queries or bulk tagging operations.
- Whether custom metadata schemas or extensions are supported beyond the standard Data Catalog model.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesgoogle-api-coregoogle-authgrpcioproto-plusprotobufgrpc-google-iam-v1 |
| Maintenance | Actively maintained 72 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 47,190,915 / month, #602 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Internet |
Evidence: google_cloud_datacatalog-3.31.0-py3-none-any.whl
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See also google-cloud-datacatalog-lineage · google-cloud-resource-manager · google-cloud-billing · google-cloud-dataflow-client · google-cloud-monitoring · google-cloud-workflows · google-cloud-dataplex · google-api-python-client · unitycatalog-client · python-consul