dvc-gdrive

What it is and what it does

dvc-gdrive is a plugin that extends DVC (Data Version Control) to use Google Drive as a remote storage backend. DVC is a version control system for machine learning and data pipelines; this plugin allows you to store your project's data artifacts directly on Google Drive instead of on local storage or other cloud providers. It integrates seamlessly with DVC's push, pull, and fetch workflows.

The plugin depends on dvc as its primary runtime dependency and pydrive2 to handle Google Drive API interactions. Once installed and configured with your Google Drive credentials, you can treat Google Drive as a standard DVC remote, pushing and pulling data just as you would with any other backend. It supports Python 3.8 through 3.11 and is actively maintained.

Use it for:

• Store ML training datasets on Google Drive and sync them across team members' machines using DVC.
• Back up large model checkpoints and intermediate outputs to Google Drive for long-term archival.
• Use Google Drive as a shared remote for collaborative data science projects without setting up separate cloud infrastructure.
• Integrate Google Drive storage into existing DVC pipelines for reproducible machine learning workflows.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Enables DVC to store and retrieve data from Google Drive by acting as a remote storage backend plugin for the DVC version control system.

Yes, if you already use DVC and need Google Drive as a remote storage backend. The plugin is actively maintained, has low install friction, carries a permissive license, and has no known vulnerabilities. Install it only if you have a concrete need to store DVC-tracked data on Google Drive; it is not useful as a standalone tool.

Install

dvc-gdrive on PyPI

pip install dvc-gdrive

uv add dvc-gdrive

poetry add dvc-gdrive

Installing dvc-gdrive

Before you install

Low friction install with a pure-Python wheel. Actively maintained as of August 2026 with recent commits; the repository is not archived. Depends on dvc and pydrive2, both standard Python packages.

License in practice

Licensed under Apache License 2.0 (permissive), allowing free use, modification, and distribution with minimal restrictions.

Quickstart

pip install dvc-gdrive

Then in a DVC project, configure a remote:
dvc remote add -d myremote gdrive://folder-id
dvc push  # pushes tracked data to Google Drive

Requires an active Google Drive account and proper authentication credentials configured for pydrive2.

Verify before relying

• Whether Google Drive API credentials or authentication setup is required before the plugin can be used.
• Whether there are any rate limits or quota constraints imposed by Google Drive that affect DVC operations.
• Performance characteristics when working with large datasets or many files on Google Drive.

Package facts

Evidence: dvc_gdrive-3.0.1-py3-none-any.whl

Keywords: dvc, gdrive

Tags

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