---
id: google-cloud-dataproc
version: "5.30.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# google-cloud-dataproc — Google Cloud Dataproc API client library

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

## Install

pip install google-cloud-dataproc
uv add google-cloud-dataproc
poetry add google-cloud-dataproc

## Description

Python Client for Cloud Dataproc
================================

|stable| |pypi| |versions|

`Cloud Dataproc`_: Manages Hadoop-based clusters and jobs on Google Cloud Platform.

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

.. |stable| image:: https://img.shields.io/badge/support-stable-gold.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-dataproc.svg
   :target: https://pypi.org/project/google-cloud-dataproc/
.. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-dataproc.svg
   :target: https://pypi.org/project/google-cloud-dataproc/
.. _Cloud Dataproc: https://cloud.google.com/dataproc
.. _Client Library Documentation: https://cloud.google.com/python/docs/reference/dataproc/latest/summary_overview
.. _Product Documentation:  https://cloud.google.com/dataproc

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 Cloud Dataproc.`_
4. `Set up Authentication.`_

.. _Select...

## AI interpretation — verify before relying

Python client library for managing Hadoop-based clusters and jobs on Google Cloud Dataproc, providing programmatic access to create, configure, and monitor data processing infrastructure.

Verdict: Production-ready, actively maintained library with stable API (Development Status 5), no known vulnerabilities, and low install friction. Suitable for production workloads managing Dataproc infrastructure on GCP, though it requires proper authentication setup and Python 3.10+.

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