Package Health Score

94 / 100

security
Security review needed
popularity
Key ecosystem project
maintenance
Healthy
community
Active

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Popularity

Key ecosystem project

GitHub Stars: 4.84K
Forks: 1.53K
Contributors: 420

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package google-cloud-dataproc, we found that it has been starred 4,844 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Oct 31, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
1
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

Yes

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Maintenance

Healthy

Commit Frequency

Open Issues: 94
Open PR: 4
Last Release: 26 days ago
Last Commit: 5 days ago

Further analysis of the maintenance status of google-cloud-dataproc based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that google-cloud-dataproc demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 420
Funding: No

A good and healthy external contribution signal for google-cloud-dataproc project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: >=3.7

Age: 7 years
Latest Release: 26 days ago
Dependencies: 0 Direct
Versions: 71
Maintainers: 2
Wheels: OS Independent

Readme

Python Client for Google Cloud Dataproc

Google Cloud Dataproc: is a faster, easier, more cost-effective way to run Apache Spark and Apache Hadoop.

Quick Start

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

Installation

Install this library in a virtual environment using venv. venv is a tool that creates isolated Python environments. These isolated environments can have separate versions of Python packages, which allows you to isolate one project's dependencies from the dependencies of other projects.

With venv, it's possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.

Code samples and snippets

Code samples and snippets live in the samples/ folder.

Supported Python Versions

Our client libraries are compatible with all current active and maintenance versions of Python.

Python >= 3.7

Unsupported Python Versions

Python <= 3.6

If you are using an end-of-life version of Python, we recommend that you update as soon as possible to an actively supported version.

Mac/Linux

python3 -m venv 
source /bin/activate
pip install google-cloud-dataproc

Windows

py -m venv 
.\\Scripts\activate
pip install google-cloud-dataproc

Next Steps

Read the Client Library Documentation for Google Cloud Dataproc to see other available methods on the client.
Read the Google Cloud Dataproc Product documentation to learn more about the product and see How-to Guides.
View this README to see the full list of Cloud APIs that we cover.

FAQs

What is google-cloud-dataproc?

Google Cloud Dataproc API client library. Visit Snyk Advisor to see a full health score report for google-cloud-dataproc, including popularity, security, maintenance & community analysis.

Is google-cloud-dataproc popular?

The python package google-cloud-dataproc receives a total of 1,937,593 weekly downloads. As such, google-cloud-dataproc popularity was classified as a key ecosystem project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is google-cloud-dataproc well maintained?

We found that google-cloud-dataproc demonstrated a healthy version release cadence and project activity. It has a community of 420 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is google-cloud-dataproc safe to use?

While scanning the latest version of google-cloud-dataproc, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 26 November-2024, at 05:16 (UTC).

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google-cloud-dataproc

Google Cloud Dataproc API client library For more information about how to use this package see README

Ensure you're using the healthiest python packages

Package Health Score

Explore Similar Packages

Popularity

Direct Usage Popularity

Security

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Maintenance

Commit Frequency

Community

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Package

Readme

Python Client for Google Cloud Dataproc

Quick Start

Installation

Code samples and snippets

Supported Python Versions

Unsupported Python Versions

Mac/Linux

Windows

Next Steps

FAQs

What is google-cloud-dataproc?

Is google-cloud-dataproc popular?

Is google-cloud-dataproc well maintained?

Is google-cloud-dataproc safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Explore Similar Packages

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Readme

Python Client for Google Cloud Dataproc

Quick Start

Installation

Code samples and snippets

Supported Python Versions

Unsupported Python Versions

Mac/Linux

Windows

Next Steps

FAQs

What is google-cloud-dataproc?

Is google-cloud-dataproc popular?

Is google-cloud-dataproc well maintained?

Is google-cloud-dataproc safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues