h2o-pysparkling-scoring-3.2

v3.46.0.5.post1

Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark For more information about how to use this package see README

Latest version published 1 month ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

78 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

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spark
46

Popularity

Small

GitHub Stars: 966
Forks: 360
Contributors: 50

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package h2o-pysparkling-scoring-3.2, we found that it has been starred 966 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Sep 30, 2024
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 29
Open PR: 11
Last Release: 1 month ago
Last Commit: 1 month ago

Further analysis of the maintenance status of h2o-pysparkling-scoring-3.2 based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that h2o-pysparkling-scoring-3.2 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: No
Code of Conduct: Yes
Contributors: 50
Funding: No

With more than 10 contributors for the h2o-pysparkling-scoring-3.2 repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: ==3.10.*, ==3.6.*, ==3.7.*, ==3.8.*, ==3.9.*

Age: 3 years
Latest Release: 1 month ago
Dependencies: N/A
Versions: 27
Maintainers: 1
Wheels: No

Readme

PySparkling - Scoring

This package contains just functionality for scoring with Sparkling Water, H2O-3 and Driverless AI MOJO models.

Documentation describing scoring with H2O-3 MOJO models is located at:

For Spark 3.5 -
For Spark 3.4 -
For Spark 3.3 -
For Spark 3.2 -
For Spark 3.1 -
For Spark 3.0 -
For Spark 2.4 -
For Spark 2.3 -
For Spark 2.2 -

Documentation describing scoring with Driverless AI MOJO models is located at:

For Spark 3.4 -
For Spark 3.3 -
For Spark 3.2 -
For Spark 3.1 -
For Spark 3.0 -
For Spark 2.4 -
For Spark 2.3 -
For Spark 2.2 -

FAQs

What is h2o-pysparkling-scoring-3.2?

Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark. Visit Snyk Advisor to see a full health score report for h2o-pysparkling-scoring-3.2, including popularity, security, maintenance & community analysis.

Is h2o-pysparkling-scoring-3.2 popular?

The python package h2o-pysparkling-scoring-3.2 receives a total of 140 weekly downloads. As such, h2o-pysparkling-scoring-3.2 popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is h2o-pysparkling-scoring-3.2 well maintained?

We found that h2o-pysparkling-scoring-3.2 demonstrated a healthy version release cadence and project activity. It has a community of 50 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is h2o-pysparkling-scoring-3.2 safe to use?

The python package h2o-pysparkling-scoring-3.2 was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 7 November-2024, at 22:07 (UTC).

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