google-cloud-bigquery-datatransfer

Google Cloud Bigquery Datatransfer API client library

google-cloud-bigquery-datatransfer Permissive license Apache-2.0 Active ★ 5,370 v3.23.0 released 2026-06-03

Install

google-cloud-bigquery-datatransfer on PyPI

pip

pip install google-cloud-bigquery-datatransfer

uv

uv add google-cloud-bigquery-datatransfer

poetry

poetry add google-cloud-bigquery-datatransfer

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 — 71 days since the last release
Last repo commit	2026-08-13
First released	2017-12-15
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_bigquery_datatransfer-3.23.0-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-bigquery-datatransfer

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

Python Client for BigQuery Data Transfer

BigQuery Data Transfer_: Schedule queries or transfer external data from SaaS applications to Google BigQuery on a regular basis.

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-bigquery-datatransfer.svg :target: https://pypi.org/project/google-cloud-bigquery-datatransfer/ .. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-bigquery-datatransfer.svg :target: https://pypi.org/project/google-cloud-bigquery-datatransfer/ .. _BigQuery Data Transfer: https://cloud.google.com/bigquery/transfer/ .. _Client Library Documentation: https://cloud.google.com/python/docs/reference/bigquerydatatransfer/latest/summary_overview .. _Product Documentation: https://cloud.google.com/bigquery/transfer/

Quick Start

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

1....

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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 scheduling BigQuery data transfers and importing external data into BigQuery on a regular basis.

Low friction: pure Python wheel with five stable Google Cloud dependencies. Active maintenance with recent release 71 days ago and ongoing repository activity.

Apache-2.0 permissive license allows commercial and private use with minimal restrictions; attribution required.

Usage

pip install google-cloud-bigquery-datatransfer

from google.cloud import bigquery_datatransfer

client = bigquery_datatransfer.DataTransferServiceClient()

Requires Python >= 3.10; Google Cloud project with BigQuery Data Transfer API enabled and authentication credentials configured.

Verdict: Production-ready, actively maintained Google Cloud library with no known vulnerabilities and permissive licensing. Stable API, low install friction, and broad Python version support (3.10–3.14) make it suitable for production use. Requires prior GCP setup and authentication configuration.

Needs verification

Whether the library supports all BigQuery Data Transfer service features or only a subset of the API surface.
Performance characteristics and rate limits when scheduling or managing large numbers of transfers.

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