google-cloud-dataform

Google Cloud Dataform API client library

google-cloud-dataform Permissive license Apache-2.0 Active ★ 5,370 v0.11.2 released 2026-07-08

Install

google-cloud-dataform on PyPI

pip

pip install google-cloud-dataform

uv

uv add google-cloud-dataform

poetry

poetry add google-cloud-dataform

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 — google-api-core, google-auth, grpcio, proto-plus, protobuf, grpc-google-iam-v1
Maintenance	actively maintained — 36 days since the last release
Last repo commit	2026-08-13
First released	2022-07-08
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_dataform-0.11.2-py3-none-any.whl

Development Status :: 4 - BetaIntended 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-dataform

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

Python Client for Dataform

Dataform_: Service to develop, version control, and operationalize SQL pipelines in BigQuery.

Client Library Documentation_
Product Documentation_

.. |preview| image:: https://img.shields.io/badge/support-preview-orange.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-dataform.svg :target: https://pypi.org/project/google-cloud-dataform/ .. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-dataform.svg :target: https://pypi.org/project/google-cloud-dataform/ .. _Dataform: https://cloud.google.com/dataform/ .. _Client Library Documentation: https://cloud.google.com/python/docs/reference/dataform/latest/summary_overview .. _Product Documentation: https://cloud.google.com/dataform/

Quick Start

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

Select or create a Cloud Platform project._
Enable billing for your project._
Enable the Dataform._
Set up Authentication._

.. _Select or...

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 Dataform, enabling programmatic development, version control, and operationalization of SQL pipelines in BigQuery.

Low friction: pure Python wheel with standard Google Cloud dependencies (google-api-core, google-auth, grpcio, proto-plus, protobuf, grpc-google-iam-v1). Actively maintained with recent releases; last commit 2026-08-13 and 36 days since latest version.

Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you must retain license and copyright notices in distributions.

Usage

pip install google-cloud-dataform

from google.cloud import dataform_v1beta1

client = dataform_v1beta1.DataformClient()

Requires Python >= 3.10; Google Cloud credentials (GOOGLE_APPLICATION_CREDENTIALS or Application Default Credentials) must be configured.

Verdict: Stable, actively maintained Google Cloud client library in beta status with no known vulnerabilities. Low installation friction and permissive licensing make it suitable for production use in BigQuery SQL pipeline automation, provided you have Python 3.10+ and proper GCP authentication configured.

Needs verification

Whether the library is suitable for production workloads given its Beta development status classification
Specific performance characteristics or throughput limits when managing large-scale Dataform projects
Community adoption metrics beyond the top-1000 PyPI tier classification

bigquery sql pipeline managementgoogle cloud dataform python clientsql workflow orchestration gcpdataform api python librarybigquery version control automationcloud sql pipeline developmentdataform sdk python