{"enrichment":{"capability":"pandas-gbq provides a pandas interface to Google BigQuery, enabling you to read query results directly into DataFrames and write DataFrames back to BigQuery tables using simple function calls.","verdict":"pandas-gbq is a well-maintained, actively developed connector in the top 1000 PyPI packages with no known vulnerabilities. Its permissive BSD-3-Clause license and low installation friction make it suitable for data workflows integrating pandas with BigQuery. The primary consideration is the substantial dependency footprint (12 runtime dependencies) and the requirement for GCP authentication and project setup."},"id":"pandas-gbq","links":{"html":"https://skillfed.io/packages/pandas-gbq","md":"https://skillfed.io/packages/pandas-gbq.md","pypi":"https://pypi.org/project/pandas-gbq/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-06","license_spdx":null,"license_treatment":"permissive","name":"pandas-gbq","python_support":"supports_current","summary":"Google BigQuery connector for pandas"},"popularity":{"tier":"top_1000"},"security":{"n_vulnerabilities":0},"version":"0.35.1"}