- 2.0.0-dev0 (latest)
- 1.42.0
- 1.41.0
- 1.40.0
- 1.39.0
- 1.38.0
- 1.37.0
- 1.36.0
- 1.35.0
- 1.34.0
- 1.33.0
- 1.32.0
- 1.31.0
- 1.30.0
- 1.29.0
- 1.28.0
- 1.27.0
- 1.26.0
- 1.25.0
- 1.24.0
- 1.22.0
- 1.21.0
- 1.20.0
- 1.19.0
- 1.18.0
- 1.17.0
- 1.16.0
- 1.15.0
- 1.14.0
- 1.13.0
- 1.12.0
- 1.11.1
- 1.10.0
- 1.9.0
- 1.8.0
- 1.7.0
- 1.6.0
- 1.5.0
- 1.4.0
- 1.3.0
- 1.2.0
- 1.1.0
- 1.0.0
- 0.26.0
- 0.25.0
- 0.24.0
- 0.23.0
- 0.22.0
- 0.21.0
- 0.20.1
- 0.19.2
- 0.18.0
- 0.17.0
- 0.16.0
- 0.15.0
- 0.14.1
- 0.13.0
- 0.12.0
- 0.11.0
- 0.10.0
- 0.9.0
- 0.8.0
- 0.7.0
- 0.6.0
- 0.5.0
- 0.4.0
- 0.3.0
- 0.2.0
BigQuery DataFrames
BigQuery DataFrames provides a Pythonic DataFrame and machine learning (ML) API powered by the BigQuery engine.
bigframes.pandasprovides a pandas-compatible API for analytics.bigframes.mlprovides 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.
⚠️ Warning: Breaking Changes in BigQuery DataFrames v2.0
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_resultshas changed toFalse. Methods liketo_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, anddatasettoremote_functionmust now be passed using keyword syntax, as positional arguments are no longer supported.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-001model. 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.
Documentation
Getting started with BigQuery DataFrames
Read Introduction to BigQuery DataFrames and try the BigQuery DataFrames quickstart to get up and running in just a few minutes.
License
BigQuery DataFrames is distributed with the Apache-2.0 license.
It also contains code derived from the following third-party packages:
For details, see the third_party directory.
Contact Us
For further help and provide feedback, you can email us at bigframes-feedback@google.com.