View intel-numpy on Snyk Open Source Advisor

Package Health Score

67 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Active

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Popularity

Small

GitHub Stars: 28.36K
Forks: 10.22K
Contributors: 440

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package intel-numpy, we found that it has been starred 28,362 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 30, 2023
Direct Vulnerabilities: 0
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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: 1.99K
Open PR: 195
Last Release: 1 year ago
Last Commit: 3 days ago

Further analysis of the maintenance status of intel-numpy 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 intel-numpy 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 intel-numpy project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: >=3.7,<3.11

Age: 7 years
Latest Release: 1 year ago
Dependencies: 4 Direct
Versions: 4
Maintainers: 0
Wheels: Linux

Readme

Optimized implementation of numpy, leveraging Intel® Math Kernel Library to achieve highly efficient multi-threading, vectorization, and memory management.

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.

Install instruction

Intel optimized NumPy Pypi packages are now distributed via Anaconda Cloud.

To install Intel optimized NumPy Pypi package please use following command:

python -m pip install -i https://pypi.anaconda.org/intel/simple numpy

intel-numpy dependencies

dpcpp-cpp-rt mkl mkl-service tbb4py

FAQs

What is intel-numpy?

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

Is intel-numpy popular?

The python package intel-numpy receives a total of 873 weekly downloads. As such, intel-numpy popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is intel-numpy well maintained?

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

Is intel-numpy safe to use?

The python package intel-numpy 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 21 December-2024, at 21:54 (UTC).

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intel-numpy

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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Install instruction

intel-numpy dependencies

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Is intel-numpy safe to use?

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Readme

Install instruction

intel-numpy dependencies

FAQs

What is intel-numpy?

Is intel-numpy popular?

Is intel-numpy well maintained?

Is intel-numpy safe to use?

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