---
id: google-cloud-dataflow-client
version: "0.14.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# google-cloud-dataflow-client — Google Cloud Dataflow Client API client library

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install google-cloud-dataflow-client
uv add google-cloud-dataflow-client
poetry add google-cloud-dataflow-client

## Description

Python Client for Dataflow
==========================

|preview| |pypi| |versions|

`Dataflow`_: Manages Google Cloud Dataflow projects on Google Cloud Platform.

- `Client Library Documentation`_
- `Product Documentation`_

.. |preview| image:: https://img.shields.io/badge/support-preview-orange.svg
   :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#stability-levels
.. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-dataflow-client.svg
   :target: https://pypi.org/project/google-cloud-dataflow-client/
.. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-dataflow-client.svg
   :target: https://pypi.org/project/google-cloud-dataflow-client/
.. _Dataflow: https://cloud.google.com/dataflow/
.. _Client Library Documentation: https://cloud.google.com/python/docs/reference/dataflow/latest/summary_overview
.. _Product Documentation:  https://cloud.google.com/dataflow/

Quick Start
-----------

In order to use this library, you first need to go through the following steps:

1. `Select or create a Cloud Platform project.`_
2. `Enable billing for your project.`_
3. `Enable the Dataflow.`_
4. `Set up Authentication.`_

.....

## AI interpretation — verify before relying

Python client library for managing Google Cloud Dataflow projects, providing programmatic access to Dataflow's data processing pipeline orchestration and monitoring capabilities.

Verdict: A well-maintained, actively developed client library for Dataflow with low install friction and permissive licensing. No known vulnerabilities, broad Python version support (3.10–3.14), and top-1000 PyPI popularity make it a reliable choice for GCP Dataflow integration.

[View on SkillFed](https://skillfed.io/packages/google-cloud-dataflow-client) · [View on PyPI](https://pypi.org/project/google-cloud-dataflow-client/)