View numpy-mips64 on Snyk Open Source Advisor

Package Health Score

66 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Active

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Popularity

Small

GitHub Stars: 27.83K
Forks: 10K
Contributors: 440

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package numpy-mips64, we found that it has been starred 27,831 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 10, 2019
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-2-Clause

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 1.96K
Open PR: 197
Last Release: 5 years ago
Last Commit: 27 days ago

Further analysis of the maintenance status of numpy-mips64 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 numpy-mips64 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: 440
Funding: Yes

A good and healthy external contribution signal for numpy-mips64 project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: >=3.5

Age: 5 years
Latest Release: 5 years ago
Dependencies: N/A
Versions: 1
Maintainers: 1
Wheels: Linux

Readme

It provides:

a powerful N-dimensional array object
sophisticated (broadcasting) functions
tools for integrating C/C++ and Fortran code
useful linear algebra, Fourier transform, and random number capabilities
and much more

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

All NumPy wheels distributed on PyPI are BSD licensed.

FAQs

What is numpy-mips64?

NumPy is the fundamental package for array computing with Python. Visit Snyk Advisor to see a full health score report for numpy-mips64, including popularity, security, maintenance & community analysis.

Is numpy-mips64 popular?

The python package numpy-mips64 receives a total of 24 weekly downloads. As such, numpy-mips64 popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is numpy-mips64 well maintained?

We found indications that numpy-mips64 is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is numpy-mips64 safe to use?

The python package numpy-mips64 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 8 November-2024, at 00:14 (UTC).

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numpy-mips64

NumPy is the fundamental package for array computing with Python. For more information about how to use this package see README

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Readme

FAQs

What is numpy-mips64?

Is numpy-mips64 popular?

Is numpy-mips64 well maintained?

Is numpy-mips64 safe to use?

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Source Code

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