---
id: bigquery
version: "0.0.45"
license: unclear
license_treatment: permissive
maintenance: dormant
---

# bigquery — Easily send data to Big Query

License: permissive · Maintenance: dormant · Downloads: 229.9K/mo

## What it is and what it does

bigquery is a Python wrapper intended to simplify sending data to Google BigQuery. It aims to reduce boilerplate by offering an easier interface than direct BigQuery API calls. The package has no runtime dependencies, meaning it either wraps system tools or relies on pre-installed BigQuery infrastructure.

The project is dormant—no releases or commits for 582 days until a recent commit on 2025-01-09. With zero stars and minimal documentation in the fact sheet, it appears to be a small, personal utility rather than a widely-adopted library. The keywords 'send', 'data', 'bigquery', 'easy' suggest it targets developers who want quick data ingestion without learning the full BigQuery API, but the lack of maintenance and sparse metadata make it difficult to assess its actual capabilities or reliability.

Use it for:

- Quick prototyping: loading test or sample data into BigQuery during development without writing full API boilerplate.
- Batch data ingestion: automating regular uploads of data files to BigQuery tables in simple workflows.
- Data pipeline integration: embedding BigQuery writes into Python scripts where simplicity is prioritized over advanced features.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Sends data to Google BigQuery with minimal setup, providing a simplified interface for loading data into BigQuery tables.

No. The package is dormant with no recent maintenance, zero community adoption (0 stars), and minimal documentation. The official google-cloud-bigquery library is actively maintained and widely used; unless this package offers a genuinely simpler API for your specific use case, the official client is a safer choice. High install friction and lack of transparency about its actual capabilities add further risk.

## Install

pip install bigquery
uv add bigquery
poetry add bigquery

## Installing bigquery

Before you install: High install friction with no runtime dependencies. The package is dormant—last release was 582 days ago, though the repository remains active with a commit as recent as 2025-01-09. No maintenance activity beyond that point suggests the project is not actively developed.

License in practice: Licensed under MIT (permissive), so you can use, modify, and distribute it freely with minimal restrictions.

Quickstart:

pip install bigquery
import bigquery
# Consult package documentation for usage patterns

Requires Python 3 or later. The package description is minimal; actual usage patterns are not documented in the fact sheet.

Verify before relying:

- What authentication method does the package use for BigQuery (service account, user credentials, default application credentials)?
- Does the package handle schema inference, or must schemas be provided manually?
- What data formats does it support (CSV, JSON, Parquet, etc.)?
- How does it compare in functionality to the official google-cloud-bigquery library?

## Package facts

- License: not declared (permissive)
- Python support: supports_current
- Install friction: high
- Maintenance: dormant
- Downloads: 229.9K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

bigquery data loading, send data to bigquery, bigquery python client, easy bigquery upload, bigquery integration, bigquery, data-loading, dormant

[View on SkillFed](https://skillfed.io/packages/bigquery) · [View on PyPI](https://pypi.org/project/bigquery/)