pydata-google-auth
PyData helpers for authenticating to Google APIs
Decision gist · record as of 2026-08-14
Yes, if you need to authenticate to Google APIs from Python and want to avoid boilerplate OAuth2 setup. The low install friction, permissive license, and stable API make it a reasonable choice for data science and research workflows. However, note that maintenance is dormant (568 days since last release), so if you need active support or rapid fixes for new Google API changes, consider evaluating google-auth directly or checking whether your target Google client library (e.g., google-cloud-bigquery) handles authentication setup adequately on its own.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; user must have Google OAuth2 credentials configured and network access to Google's authentication servers.
- Low install friction with a pure-Python wheel distribution.
- Maintenance is dormant—last release was 568 days ago, though the repository remains active with a recent commit on 2025-01-29.
License · maintenance · safety
BSD License (permissive) — BSD License (permissive) allows broad use, modification, and redistribution with minimal restrictions, making it suitable for most commercial and open-source projects.
last release 2025-01-23 (568 days) · last repo commit 2025-01-29 · 37 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 29,031,519 downloads/mo, #824 on PyPI
Alternatives
Verify before relying
pip install pydata-google-auth
import pydata_google_auth
credentials = pydata_google_auth.get_user_credentials(
['https://www.googleapis.com/auth/cloud-platform'],
)- Whether dormant status (568 days since last release) affects compatibility with recent Google API changes or OAuth2 standards.
- Specific OAuth2 scopes and flows supported beyond the cloud-platform example shown in documentation.
What it is and what it does
pydata-google-auth is a lightweight wrapper around google-auth and google-auth-oauthlib that simplifies authenticating to Google APIs from Python applications. It provides a single entry point—the get_user_credentials() function—that handles the OAuth2 flow and returns credentials ready to use with Google client libraries like BigQuery, Sheets, or Drive.
The package is designed for data science and research workflows where you need to authenticate once and then pass credentials to downstream tools. It abstracts away the boilerplate of setting up OAuth2 consent screens and token refresh, making it easier to get started with Google APIs in notebooks or scripts. The library supports Python 3.9 through 3.13 and is classified as Production/Stable, though releases have slowed.
Use it for
- Authenticate to Google BigQuery from a Python notebook or script to query datasets without managing OAuth2 tokens manually.
- Set up credentials for Google Sheets API access in a data pipeline that reads or writes spreadsheet data.
- Obtain user credentials for Google Cloud Storage operations in a research or analytics application.
- Simplify multi-step OAuth2 setup when building tools that need to access multiple Google APIs with the same user identity.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to authenticate to Google APIs from Python and want to avoid boilerplate OAuth2 setup.
The low install friction, permissive license, and stable API make it a reasonable choice for data science and research workflows. However, note that maintenance is dormant (568 days since last release), so if you need active support or rapid fixes for new Google API changes, consider evaluating google-auth directly or checking whether your target Google client library (e.g., google-cloud-bigquery) handles authentication setup adequately on its own.
Install
pydata-google-auth on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Maintenance is dormant—last release was 568 days ago, though the repository remains active with a recent commit on 2025-01-29. Depends on google-auth and google-auth-oauthlib, both well-established Google authentication libraries.
Requires Python 3.9 or later; user must have Google OAuth2 credentials configured and network access to Google's authentication servers.
License in practice
BSD License (permissive) allows broad use, modification, and redistribution with minimal restrictions, making it suitable for most commercial and open-source projects.
Quickstart
pip install pydata-google-auth
import pydata_google_auth
credentials = pydata_google_auth.get_user_credentials(
['https://www.googleapis.com/auth/cloud-platform'],
)Verify before relying
- Whether dormant status (568 days since last release) affects compatibility with recent Google API changes or OAuth2 standards.
- Specific OAuth2 scopes and flows supported beyond the cloud-platform example shown in documentation.
Package facts
| License | BSD License permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagessetuptoolsgoogle-authgoogle-auth-oauthlib |
| Maintenance | Dormant 568 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 29,031,519 / month, #824 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: Science/ResearchLicense :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Topic :: Scientific/Engineering |
Evidence: pydata_google_auth-1.9.1-py2.py3-none-any.whl
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See also google-oauth · google-auth-oauthlib · openfga-sdk · gcs-oauth2-boto-plugin · google-auth-httplib2 · cloudauthz · azure-identity · django-google-sso · google-reauth · oauth2-client