google-cloud-dlp

Google Cloud Dlp API client library

google-cloud-dlp Permissive license Apache-2.0 Active ★ 5,370 v3.38.0 released 2026-06-22

Install

google-cloud-dlp on PyPI

pip

pip install google-cloud-dlp

uv

uv add google-cloud-dlp

poetry

poetry add google-cloud-dlp

Package facts

License	Apache-2.0 (permissive)
Python support	supports the current Python release (>=3.10)
Install friction	low — pure-Python wheel
Runtime dependencies	5 — google-api-core, google-auth, grpcio, proto-plus, protobuf
Maintenance	actively maintained — 52 days since the last release
Last repo commit	2026-08-13
First released	2018-02-14
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: google_cloud_dlp-3.38.0-py3-none-any.whl

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

About google-cloud-dlp

from the package's own PyPI description — quoted content, verbatim

Python Client for Sensitive Data Protection (DLP)

Sensitive Data Protection (DLP)_: Discover and protect your sensitive data. A fully managed service designed to help you discover, classify, and protect your valuable data assets with ease.

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-dlp.svg :target: https://pypi.org/project/google-cloud-dlp/ .. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-dlp.svg :target: https://pypi.org/project/google-cloud-dlp/ .. _Sensitive Data Protection (DLP): https://cloud.google.com/dlp/ .. _Client Library Documentation: https://cloud.google.com/python/docs/reference/dlp/latest/summary_overview .. _Product Documentation: https://cloud.google.com/dlp/

Quick Start

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

`Select or create a Cloud Platform...

Read as markdown · JSON record · Source repository · Homepage

AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

Python client library for Google Cloud's Sensitive Data Protection (DLP) service, enabling discovery, classification, and protection of sensitive data through a managed cloud API.

Low friction install with stable, actively maintained Google Cloud library. Released 52 days ago with active repository (5370 stars). Requires Python 3.10+ and five standard Google Cloud dependencies (google-api-core, google-auth, grpcio, proto-plus, protobuf).

Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions—standard for Google Cloud client libraries.

Usage

pip install google-cloud-dlp

from google.cloud import dlp_v2

client = dlp_v2.DlpServiceClient()
project = "projects/YOUR_PROJECT_ID"
response = client.list_info_types(request={"parent": project})

Requires Google Cloud project with DLP service enabled and authentication credentials configured (see google-auth setup).

Verdict: Production-ready, well-maintained Google Cloud client for DLP operations. No known vulnerabilities, permissive licensing, and low install friction make it suitable for applications needing cloud-native data protection. Requires Python 3.10+ and Google Cloud authentication setup.

Needs verification

Whether the library supports streaming/async operations for large-scale data scanning workflows.
Performance characteristics and rate limits when scanning high-volume datasets through the DLP API.

google cloud dlp python clientsensitive data discovery classificationpii detection redactiondata protection apigoogle cloud securitydata loss preventionsensitive information masking