Package Health Score

66 / 100

security
Security review needed
popularity
Recognized
maintenance
Inactive
community
Active

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pycuda
79

Popularity

Recognized

GitHub Stars: 9.47K
Forks: 853
Contributors: 310

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package cupy-cuda101, we found that it has been starred 9,470 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Nov 10, 2021
Direct Vulnerabilities: 0
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0
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Indirect Vulnerabilities: 0
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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

MIT

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 537
Open PR: 84
Last Release: 3 years ago
Last Commit: 10 days ago

Further analysis of the maintenance status of cupy-cuda101 based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for cupy-cuda101 is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

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: 310
Funding: Yes

A good and healthy external contribution signal for cupy-cuda101 project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: >=3.6.0

Age: 6 years
Latest Release: 3 years ago
Dependencies: 2 Direct / 2 Total
Versions: 33
Maintainers: 7
Wheels: Linux, Windows

Readme

CuPy : NumPy & SciPy for GPU

CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python.

This is a CuPy wheel (precompiled binary) package for CUDA 10.1. You need to install CUDA Toolkit 10.1 to use these packages.

If you have another version of CUDA, or want to build from source, refer to the Installation Guide for instructions.

cupy-cuda101 dependencies

fastrlock numpy

FAQs

What is cupy-cuda101?

CuPy: NumPy & SciPy for GPU. Visit Snyk Advisor to see a full health score report for cupy-cuda101, including popularity, security, maintenance & community analysis.

Is cupy-cuda101 popular?

The python package cupy-cuda101 receives a total of 3,437 weekly downloads. As such, cupy-cuda101 popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is cupy-cuda101 well maintained?

We found indications that cupy-cuda101 is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is cupy-cuda101 safe to use?

While scanning the latest version of cupy-cuda101, 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 23 November-2024, at 12:32 (UTC).

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