dvc-gdrive
gdrive plugin for dvc
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an active Google Drive account and proper authentication credentials configured for pydrive2.
- Low friction install with a pure-Python wheel.
- Actively maintained as of August 2026 with recent commits; the repository is not archived.
License · maintenance · safety
Apache License 2.0 (permissive) — Licensed under Apache License 2.0 (permissive), allowing free use, modification, and distribution with minimal restrictions.
last release 2024-01-04 (953 days) · last repo commit 2026-08-10 · 5 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 85,733 downloads/mo, #13,903 on PyPI
Alternatives
Verify before relying
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- 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.
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 on it.
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
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.
Requires an active Google Drive account and proper authentication credentials configured for pydrive2.
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 DriveVerify 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
| License | Apache License 2.0 permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesdvcpydrive2 |
| Maintenance | Actively maintained 953 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 85,733 / month, #13,903 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: dvc_gdrive-3.0.1-py3-none-any.whl
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See also dvc-http · googledrivedownloader · dvc-gs · dvc-ssh · dvc-objects · gdrive-fsspec · dvc-azure · dvc-s3 · dvc-data · PyDrive2