--- id: google-cloud-bigquery version: "3.43.0" license: Apache 2.0 license_treatment: permissive maintenance: abandoned --- # google-cloud-bigquery — Google BigQuery API client library License: permissive · Maintenance: abandoned · Popularity: top 1,000 on PyPI ## Install pip install google-cloud-bigquery uv add google-cloud-bigquery poetry add google-cloud-bigquery ## Description Python Client for Google BigQuery ================================= |GA| |pypi| |versions| Querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. Google `BigQuery`_ solves this problem by enabling super-fast, SQL queries against append-mostly tables, using the processing power of Google's infrastructure. - `Client Library Documentation`_ - `Product Documentation`_ .. |GA| image:: https://img.shields.io/badge/support-GA-gold.svg :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#general-availability .. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-bigquery.svg :target: https://pypi.org/project/google-cloud-bigquery/ .. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-bigquery.svg :target: https://pypi.org/project/google-cloud-bigquery/ .. _BigQuery: https://cloud.google.com/bigquery/what-is-bigquery .. _Client Library Documentation: https://cloud.google.com/python/docs/reference/bigquery/latest/summary_overview .. _Product Documentation: https://cloud.google.com/bigquery/docs/reference/v2/ Related Libraries ----------------- For higher-level data... ## AI interpretation — verify before relying Python client library for querying and managing data in Google BigQuery, enabling SQL queries against massive datasets using Google's infrastructure. Verdict: A mature, widely-used BigQuery client (top 1000 PyPI, 798 GitHub stars) with low install friction and no known vulnerabilities. However, the archived repository and abandoned maintenance status mean no active support for future Python versions, security issues, or API changes—suitable only for stable, long-term deployments where you can self-maintain if needed. [View on SkillFed](https://skillfed.io/packages/google-cloud-bigquery) · [View on PyPI](https://pypi.org/project/google-cloud-bigquery/)