---
id: google-cloud-datacatalog
version: "3.31.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# google-cloud-datacatalog — Google Cloud Datacatalog API client library

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install google-cloud-datacatalog
uv add google-cloud-datacatalog
poetry add google-cloud-datacatalog

## Description

Python Client for Google Cloud Data Catalog
===========================================

|stable| |pypi| |versions|

`Google Cloud Data Catalog`_: A fully managed and highly scalable data discovery and metadata management
service.

- `Client Library Documentation`_
- `Product Documentation`_

.. |stable| image:: https://img.shields.io/badge/support-stable-gold.svg
   :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#stability-levels
.. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-datacatalog.svg
   :target: https://pypi.org/project/google-cloud-datacatalog/
.. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-datacatalog.svg
   :target: https://pypi.org/project/google-cloud-datacatalog/
.. _Google Cloud Data Catalog: https://cloud.google.com/data-catalog/docs
.. _Client Library Documentation: https://cloud.google.com/python/docs/reference/datacatalog/latest/summary_overview
.. _Product Documentation:  https://cloud.google.com/data-catalog/docs

Quick Start
-----------

In order to use this library, you first need to go through the following steps:

1. `Select or create a Cloud Platform project.`_
2. `Enable billing...

## AI interpretation — verify before relying

Official Python client library for Google Cloud Data Catalog, enabling programmatic access to a managed metadata discovery and management service for cataloging and organizing cloud data assets.

Verdict: Production-ready, actively maintained official Google client with low install friction and no known vulnerabilities. Permissive Apache-2.0 license and broad Python version support (3.10–3.14) make it suitable for enterprise data governance workflows. Dependency on six Google Cloud packages is standard for this class of library.

[View on SkillFed](https://skillfed.io/packages/google-cloud-datacatalog) · [View on PyPI](https://pypi.org/project/google-cloud-datacatalog/)