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BigQuery DataFrames provides a Pythonic DataFrame and machine learning (ML) API powered by the BigQuery engine.

• bigframes.pandas provides a pandas-compatible API for analytics.

• bigframes.ml provides a scikit-learn-like API for ML.

BigQuery DataFrames is an open-source package. You can run pip install --upgrade bigframes to install the latest version.

Version 2.0 introduces breaking changes for improved security and performance. Key default behaviors have changed, including

• Large Results (>10GB): The default value for allow_large_results has changed to False. Methods like to_pandas() will now fail if the query result’s compressed data size exceeds 10GB, unless large results are explicitly permitted.

• Remote Function Security: The library no longer automatically lets the Compute Engine default service account become the identity of the Cloud Run functions. If that is desired, it has to be indicated by passing cloud_function_service_account="default". And network ingress now defaults to "internal-only".

• @remote_function Argument Passing: Arguments other than input_types, output_type, and dataset to remote_function must now be passed using keyword syntax, as positional arguments are no longer supported.

• @udf Argument Passing: Arguments dataset and name to udf are now mandatory.

• Endpoint Connections: Automatic fallback to locational endpoints in certain regions is removed.

• LLM Updates (Gemini Integration): Integrations now default to the gemini-2.0-flash-001 model. PaLM2 support has been removed; please migrate any existing PaLM2 usage to Gemini. Note: The current default model will be removed in Version 3.0.

Important: If you are not ready to adapt to these changes, please pin your dependency to a version less than 2.0 (e.g., bigframes==1.42.0) to avoid disruption.

To learn about these changes and how to migrate to version 2.0, see the updated introduction guide.

• BigQuery DataFrames source code (GitHub)

• BigQuery DataFrames sample notebooks

• BigQuery DataFrames API reference

• BigQuery DataFrames supported pandas APIs

Read Introduction to BigQuery DataFrames and try the BigQuery DataFrames quickstart to get up and running in just a few minutes.

BigQuery DataFrames is distributed with the Apache-2.0 license.

It also contains code derived from the following third-party packages:

• Ibis

• pandas

• Python

• scikit-learn

• XGBoost

For details, see the third_party directory.

For further help and provide feedback, you can email us at bigframes-feedback@google.com.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-08-12 UTC.

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