google-cloud-dataform
Google Cloud Dataform API client library
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained client library for Dataform with low install friction, permissive licensing, and no known vulnerabilities. Install it if you need to interact with Dataform from Python code or automate Dataform workflows. The main constraint is the Python 3.10+ requirement and the prerequisite of a configured Google Cloud project with Dataform enabled.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10; Google Cloud project with Dataform enabled and authentication configured (service account or Application Default Credentials).
- Low install friction with a pure-wheel distribution.
- Actively maintained as of 2026-08-14 with recent release history.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you must include a copy of the license and state significant changes, but there are no copyleft obligations.
last release 2026-07-08 (37 days) · last repo commit 2026-08-14 · 5,371 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 79,994,340 downloads/mo, #424 on PyPI
Alternatives
Verify before relying
pip install google-cloud-dataform
from google.cloud import dataform_v1beta1
client = dataform_v1beta1.DataformClient()
# Use client to interact with Dataform API- Specific API coverage and completeness relative to the full Dataform service capabilities
- Performance characteristics and rate limits for typical workloads
- Whether the library supports all Dataform features or only a subset
What it is and what it does
google-cloud-dataform is the official Python client library for Google Cloud Dataform, a managed service for developing and operationalizing SQL data transformation pipelines in BigQuery. It wraps the Dataform API to allow developers to programmatically create, manage, and execute SQL workflows, version control repositories, and monitor pipeline execution from Python code.
The library is built on Google's standard cloud client architecture, using google-api-core, google-auth, and gRPC for communication. It targets Python 3.10 and later and is actively maintained by Google Cloud. The library is in Beta status, meaning the API surface may evolve, but it is production-ready for use with Dataform projects that have been set up through the Google Cloud Console.
Use it for
- Automate deployment and execution of Dataform SQL pipelines from CI/CD workflows or scheduled jobs
- Programmatically create and manage Dataform repositories and workflows as part of infrastructure-as-code
- Monitor and query the status of running Dataform executions and retrieve logs for debugging
- Integrate Dataform pipeline orchestration into custom Python data platforms or workflow engines
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is the official, actively maintained client library for Dataform with low install friction, permissive licensing, and no known vulnerabilities. Install it if you need to interact with Dataform from Python code or automate Dataform workflows. The main constraint is the Python 3.10+ requirement and the prerequisite of a configured Google Cloud project with Dataform enabled.
Install
google-cloud-dataform on PyPI
Before you install
Low install friction with a pure-wheel distribution. Actively maintained as of 2026-08-14 with recent release history. Requires Python 3.10 or later and depends on standard Google Cloud libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf, grpc-google-iam-v1).
Requires Python >= 3.10; Google Cloud project with Dataform enabled and authentication configured (service account or Application Default Credentials).
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you must include a copy of the license and state significant changes, but there are no copyleft obligations.
Quickstart
pip install google-cloud-dataform
from google.cloud import dataform_v1beta1
client = dataform_v1beta1.DataformClient()
# Use client to interact with Dataform APIVerify before relying
- Specific API coverage and completeness relative to the full Dataform service capabilities
- Performance characteristics and rate limits for typical workloads
- Whether the library supports all Dataform features or only a subset
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesgoogle-api-coregoogle-authgrpcioproto-plusprotobufgrpc-google-iam-v1 |
| Maintenance | Actively maintained 37 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 79,994,340 / month, #424 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Internet |
Evidence: google_cloud_dataform-0.11.2-py3-none-any.whl
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See also google-cloud-bigquery-storage · google-cloud-bigquery-logging · google-cloud-bigquery · google-cloud-workflows · google-cloud-spanner · google-cloud-dataflow-client · google-cloud-build · google-cloud-bigquery-connection · google-cloud-functions · google-cloud-bigquery-datapolicies