dvc-gs
gs plugin for dvc
Decision gist · record as of 2026-08-14
Yes, if you use DVC and need GCS as a remote backend. Low install friction, active maintenance, no known vulnerabilities, and permissive licensing make it a straightforward addition to a DVC-based workflow. Install only if you have a GCS bucket and DVC already in use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires dvc to be installed and a Google Cloud project with credentials configured (via GOOGLE_APPLICATION_CREDENTIALS or gcloud auth).
- Low friction install with two runtime dependencies (dvc and gcsfs).
- Actively maintained with recent commits and Python 3.9–3.14 support.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions.
last release 2026-06-09 (66 days) · last repo commit 2026-08-10 · 6 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 468,115 downloads/mo, #6,493 on PyPI
Alternatives
Verify before relying
pip install dvc-gs
After installation, configure a DVC remote:
dvc remote add mygs gs://my-bucket/path
dvc remote default mygs- Whether the plugin handles authentication methods beyond service account keys (e.g., Application Default Credentials, workload identity).
- Performance characteristics and limits for large-scale data transfers to GCS.
What it is and what it does
dvc-gs is a plugin that extends DVC (Data Version Control) to work with Google Cloud Storage as a remote data backend. Once installed, it allows you to store and retrieve versioned datasets and models directly in GCS buckets using DVC's standard remote commands, without needing to manage separate cloud storage APIs.
The plugin sits between DVC and gcsfs (the Google Cloud Storage filesystem library) and handles the protocol translation so that gs:// URLs work seamlessly in your DVC pipelines and remote configuration. It's part of the DVC ecosystem of storage plugins and is actively maintained by Iterative.
Use it for
- Store DVC-tracked datasets in GCS for team collaboration and CI/CD pipelines.
- Use GCS as a remote cache to avoid re-downloading large model artifacts across machines.
- Integrate DVC workflows with Google Cloud Vertex AI or other GCP-native ML services.
- Version control and track ML experiment outputs stored in GCS buckets.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use DVC and need GCS as a remote backend.
Low install friction, active maintenance, no known vulnerabilities, and permissive licensing make it a straightforward addition to a DVC-based workflow. Install only if you have a GCS bucket and DVC already in use.
Install
dvc-gs on PyPI
Before you install
Low friction install with two runtime dependencies (dvc and gcsfs). Actively maintained with recent commits and Python 3.9–3.14 support.
Requires dvc to be installed and a Google Cloud project with credentials configured (via GOOGLE_APPLICATION_CREDENTIALS or gcloud auth).
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions.
Quickstart
pip install dvc-gs
After installation, configure a DVC remote:
dvc remote add mygs gs://my-bucket/path
dvc remote default mygsVerify before relying
- Whether the plugin handles authentication methods beyond service account keys (e.g., Application Default Credentials, workload identity).
- Performance characteristics and limits for large-scale data transfers to GCS.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesdvcgcsfs |
| Maintenance | Actively maintained 66 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 468,115 / month, #6,493 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 :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9 |
Evidence: dvc_gs-3.1.0-py3-none-any.whl
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See also dvc-objects · dvc-gdrive · dvc-s3 · dvc-http · dvc-ssh · dvc-azure · blobfile · dvc · snakemake-storage-plugin-gcs · dvc-data