google-cloud-dataplex
Google Cloud Dataplex API client library
Decision gist · record as of 2026-08-14
Yes. This is an actively maintained, production-stable official Google client library with low install friction, no known vulnerabilities, and permissive licensing. Install it if you need to interact with Dataplex from Python code. The only prerequisite is Python 3.10+ and a configured GCP environment with Dataplex enabled.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; GCP project with Dataplex enabled and authentication credentials configured.
- Low install friction with a pure-wheel distribution.
- Actively maintained with recent releases; repository shows active development and community engagement with 5371 stars.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most production deployments.
last release 2026-06-03 (72 days) · last repo commit 2026-08-14 · 5,371 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 30,630,482 downloads/mo, #796 on PyPI
Alternatives
Verify before relying
pip install google-cloud-dataplex
from google.cloud import dataplex_v1
client = dataplex_v1.DataplexServiceClient()
# Use client to interact with Dataplex resources- Specific API coverage and completeness relative to the full Dataplex service surface
- Performance characteristics and rate-limiting behavior for large-scale operations
- Backward compatibility guarantees across minor version updates
What it is and what it does
This is the official Google Cloud Python client library for Dataplex, a unified governance platform for data and AI assets. It provides programmatic access to Dataplex APIs, allowing you to manage data lakes, metadata, and governance policies from Python applications. The library wraps gRPC and REST endpoints behind a Pythonic interface, handling authentication, serialization, and error handling automatically.
The package depends on standard Google Cloud infrastructure libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf, grpc-google-iam-v1) and is distributed as a pure Python wheel. It targets modern Python versions (3.10 and later) and is actively maintained by Google. The library is suitable for building automation, integration, and management tools that interact with Dataplex resources on GCP.
Use it for
- Automate data lake provisioning and metadata management workflows across multiple GCP projects
- Build custom governance dashboards that query Dataplex asset catalogs and compliance metadata
- Integrate Dataplex data discovery into CI/CD pipelines for data quality validation
- Programmatically enforce data lineage and access policies as part of infrastructure-as-code
- Create scheduled jobs that sync on-premises data catalogs with Dataplex governance models
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is an actively maintained, production-stable official Google client library with low install friction, no known vulnerabilities, and permissive licensing. Install it if you need to interact with Dataplex from Python code. The only prerequisite is Python 3.10+ and a configured GCP environment with Dataplex enabled.
Install
google-cloud-dataplex on PyPI
Before you install
Low install friction with a pure-wheel distribution. Actively maintained with recent releases; repository shows active development and community engagement with 5371 stars.
Requires Python 3.10 or later; GCP project with Dataplex enabled and authentication credentials configured.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most production deployments.
Quickstart
pip install google-cloud-dataplex
from google.cloud import dataplex_v1
client = dataplex_v1.DataplexServiceClient()
# Use client to interact with Dataplex resourcesVerify before relying
- Specific API coverage and completeness relative to the full Dataplex service surface
- Performance characteristics and rate-limiting behavior for large-scale operations
- Backward compatibility guarantees across minor version updates
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 | 30,630,482 / month, #796 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_dataplex-2.20.0-py3-none-any.whl
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See also google-cloud-billing · google-cloud-functions · google-cloud-org-policy · google-cloud-dataflow-client · google-cloud-workflows · google-cloud-datacatalog · google-cloud-bigquery-datapolicies · google-cloud-build · google-cloud-monitoring · google-cloud-monitoring-dashboards