gcloud-rest-bigquery
Python Client for Google Cloud BigQuery
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later; gcloud-rest-auth dependency must be installed.
- 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 · maintenance · safety
MIT (permissive) — 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.
last release 2024-02-16 (910 days) · last repo commit 2026-08-14 · 348 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 410,259 downloads/mo, #6,866 on PyPI
Alternatives
Verify before relying
pip install gcloud-rest-bigquery
from gcloud.rest import bigquery
# Instantiate and use client (see docs for full examples)
client = bigquery.BigQueryClient()- 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
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 on it.
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
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.
Requires Python 3.8 or later; gcloud-rest-auth dependency must be installed.
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()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 packagegcloud-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 |
| Classifiers | 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 |
Evidence: gcloud_rest_bigquery-7.1.0-py3-none-any.whl
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See also gcloud-aio-bigquery · gcloud-rest-taskqueue · gcloud-rest-datastore · gcloud-aio-datastore · gcloud-aio-taskqueue · gcloud-aio-storage · gcloud-rest-auth · gcloud-aio-pubsub · bigquery · gcloud-aio-auth