skillfed

gcloud-rest-bigquery

Python Client for Google Cloud BigQuery

gcloud-rest-bigquery v7.1.0 410.3K downloads/30d#6,866 on PyPI348
Permissive license MIT Active released

What it is and what it does

This package provides a Python client library for Google Cloud BigQuery that supports both asyncio and threadsafe execution patterns. It wraps the BigQuery REST API, allowing developers to query datasets, manage tables, and interact with BigQuery resources without blocking the event loop or requiring thread management boilerplate.

The library depends on gcloud-rest-auth for authentication and is actively maintained for Python 3.8 through 3.12. It is positioned as an alternative to the official Google Cloud BigQuery client for use cases where async-first or thread-safe patterns are preferred. The project is part of the broader gcloud-rest ecosystem.

Use it for:

  • Build async Python applications that query BigQuery without blocking I/O operations
  • Integrate BigQuery into threadsafe server applications where asyncio is not suitable
  • Migrate from synchronous BigQuery clients to async patterns in existing codebases
  • Query and analyze data in BigQuery from lightweight Python services or microservices

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides an asyncio or threadsafe Python client for interacting with Google Cloud BigQuery, supporting modern Python versions.

Yes, if you need an asyncio or threadsafe BigQuery client for Python 3.8+. The package is actively maintained, has no known vulnerabilities, and carries a permissive MIT license. Install friction is low and it integrates cleanly via a single dependency. Verify that its API surface and performance match your specific BigQuery operations before committing to production.

Install

gcloud-rest-bigquery on PyPI

pip

pip install gcloud-rest-bigquery

uv

uv add gcloud-rest-bigquery

poetry

poetry add gcloud-rest-bigquery

Installing gcloud-rest-bigquery

Before you install

Low friction installation with a single runtime dependency (gcloud-rest-auth). Active maintenance as of 2026-08-14 with 348 repository stars and no known vulnerabilities.

License in practice

MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute this package freely provided you retain the license notice.

Quickstart

pip install gcloud-rest-bigquery

from gcloud.rest import bigquery

# Instantiate and use client (see docs for full examples)
client = bigquery.BigQueryClient()

Requires Python 3.8 or later; gcloud-rest-auth dependency must be installed.

Verify before relying

  • Whether the package supports both asyncio and threadsafe modes simultaneously or requires choosing one at install time
  • Specific BigQuery API operations supported (e.g., query execution, dataset management, table operations)
  • Performance characteristics or throughput limits compared to the official Google Cloud BigQuery client

Package facts

License MIT (permissive)
Python support supports the current Python release (>=3.8,<4.0)
Install friction low — pure-Python wheel
Runtime dependencies 1 — gcloud-rest-auth
Maintenance actively maintained — 910 days since the last release
Last repo commit
First released
Downloads 410,259/month — #6,866 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: gcloud_rest_bigquery-7.1.0-py3-none-any.whl

Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Internet

Tags

bigquery python clientgoogle cloud bigquery asyncbigquery rest api pythonthreadsafe bigquery clientasyncio bigquerygcloud bigquery library
async-firstgoogle-cloudrest-client

More Internet packages

botocore

Botocore provides low-level, data-driven access…

permissive · top 100 on PyPI

aiobotocore

Provides an async client for AWS services using…

permissive · top 100 on PyPI

pydantic

Pydantic validates Python data structures…

permissive · top 100 on PyPI

filelock

Provides a platform-independent file locking…

permissive · top 100 on PyPI

fastapi

FastAPI is a Python web framework for building…

permissive · top 100 on PyPI

googleapis-common-protos

Provides common Protocol Buffer message…

permissive · top 100 on PyPI

gcloud-aio-bigquery

Provides an asyncio-based Python client for…

permissive · top 1,000 on PyPI

gcloud-rest-taskqueue

Asyncio and threadsafe Python client for Google…

permissive · top 15,000 on PyPI

gcloud-rest-datastore

Provides an asyncio-compatible or threadsafe…

permissive · top 15,000 on PyPI

gcloud-aio-datastore

Asyncio and threadsafe Python client for Google…

permissive · top 15,000 on PyPI

gcloud-aio-taskqueue

Asyncio and threadsafe Python client library…

permissive · top 15,000 on PyPI

gcloud-aio-storage

Provides an asyncio-based Python client for…

permissive · top 1,000 on PyPI

gcloud-rest-auth

Provides Python client libraries for Google…

permissive · top 15,000 on PyPI

gcloud-aio-pubsub

Asyncio and threadsafe Python client for Google…

permissive · top 15,000 on PyPI

bigquery

Sends data to Google BigQuery with minimal…

permissive · top 15,000 on PyPI

gcloud-aio-auth

Provides asyncio-compatible and threadsafe…

permissive · top 1,000 on PyPI