Skip to main content

Wrapper around BigQuery & Snowflake libraries to simplify writing to/reading from Pandas DataFrames.

Project description

A lightweight Python wrapper around Google Cloud BigQuery’s API to simplify read and write between Pandas DataFrames and BigQuery.


  • Create new tables with specified schema
  • Append DataFrames to existing tables
  • Simply read from tables or arbitrary SELECT statements
  • Get BigQuery metadata (datasets, tables, table schemas, etc.)


BQPipe supports Python 3.7+.

Installation requires NumPy, Pandas, Google-Cloud-BigQuery, and PyArrow.


The latest stable release (and older versions) can be installed from PyPI:

pip install bqpipe

You may instead want to use the development version from Github:

pip install git+


Coming Soon


BQPipe development takes place on GitHub.

Please submit any reproducible bugs you encounter to the Issue Tracker.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for bqpipe, version 0.5.0
Filename, size File type Python version Upload date Hashes
Filename, size bqpipe-0.5.0-py3-none-any.whl (22.6 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size bqpipe-0.5.0.tar.gz (11.0 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page