cugraph-equivariant-cu12

v24.6.1

Fast GPU-based equivariant operations and convolutional layers. For more information about how to use this package see README

Latest version published 5 months ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

78 / 100

security
No known security issues
popularity
Small
maintenance
Sustainable
community
Active

Popularity

Small

GitHub Stars: 1.76K
Forks: 304
Contributors: 110

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package cugraph-equivariant-cu12, we found that it has been starred 1,759 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jun 14, 2024
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
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License Risk: 0
H
0
M
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

Sustainable

Commit Frequency

Open Issues: 164
Open PR: 27
Last Release: 5 months ago
Last Commit: 17 hours ago

Further analysis of the maintenance status of cugraph-equivariant-cu12 based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that cugraph-equivariant-cu12 demonstrates a positive version release cadence with at least one new version released in the past 12 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: 110
Funding: No

A good and healthy external contribution signal for cugraph-equivariant-cu12 project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: >=3.9

Age: 9 months
Latest Release: 5 months ago
Dependencies: 0 Direct
Versions: 4
Maintainers: 1
Wheels: No

Readme

cugraph-equivariant

Description

cugraph-equivariant library provides fast symmetry-preserving (equivariant) operations and convolutional layers, to accelerate the equivariant neural networks in drug discovery and other domains.

FAQs

What is cugraph-equivariant-cu12?

Fast GPU-based equivariant operations and convolutional layers. Visit Snyk Advisor to see a full health score report for cugraph-equivariant-cu12, including popularity, security, maintenance & community analysis.

Is cugraph-equivariant-cu12 popular?

The python package cugraph-equivariant-cu12 receives a total of 38 weekly downloads. As such, cugraph-equivariant-cu12 popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is cugraph-equivariant-cu12 well maintained?

We found indications that cugraph-equivariant-cu12 maintenance is sustainable demonstrating some project activity. We saw a total of 110 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is cugraph-equivariant-cu12 safe to use?

The python package cugraph-equivariant-cu12 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 23 November-2024, at 12:43 (UTC).

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