Package Health Score

72 / 100

security
No known security issues
popularity
Limited
maintenance
Sustainable
community
Active

Popularity

Limited

GitHub Stars: 355
Forks: 67
Contributors: 8

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package cuquantum-python, we found that it has been starred 355 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 18, 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
0
M
0
L

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

License

BSD-3-Clause

Security Policy

Yes

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Maintenance

Sustainable

Commit Frequency

Open Issues: 17
Open PR: 0
Last Release: 1 month ago
Last Commit: 1 month ago

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

We found that cuquantum-python 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: 8
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: Unspecified

Age: 3 years
Latest Release: 1 month ago
Dependencies: N/A
Versions: 13
Maintainers: 0
Wheels: No

Readme

NVIDIA cuQuantum Python

NVIDIA cuQuantum Python provides Python bindings and high-level object-oriented models for accessing the full functionalities of NVIDIA cuQuantum SDK from Python.

Installation

pip install -v --no-cache-dir cuquantum-python

Note

Starting cuQuantum 22.11, this package is a meta package pointing to cuquantum-python-cuXX, where XX is the CUDA major version (currently CUDA 11 & 12 are supported). The meta package will attempt to infer and install the correct -cuXX wheel. However, in situations where the auto-detection fails, this package currently points to cuquantum-python-cu11 with a warning raised (if the verbosity flag -v is set, as shown above). This behavior is subject to change in the future, and users are encouraged to install the new wheels that come with the -cuXX suffix.

The argument --no-cache-dir is required for pip 23.1+. It forces pip to execute the auto-detection logic.

Citing cuQuantum

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FAQs

What is cuquantum-python?

NVIDIA cuQuantum Python. Visit Snyk Advisor to see a full health score report for cuquantum-python, including popularity, security, maintenance & community analysis.

Is cuquantum-python popular?

The python package cuquantum-python receives a total of 527 weekly downloads. As such, cuquantum-python popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is cuquantum-python well maintained?

We found indications that cuquantum-python maintenance is sustainable demonstrating some project activity. We saw a total of 8 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is cuquantum-python safe to use?

The python package cuquantum-python 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 20 December-2024, at 10:27 (UTC).

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