Package Health Score

63 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Active

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Popularity

Small

GitHub Stars: 15.72K
Forks: 2.11K
Contributors: 350

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package nwhy, we found that it has been starred 15,722 times.

Security

No known security issues

Security and license risk for latest version

Release Date: May 18, 2021
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

Yes

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Maintenance

Inactive

Commit Frequency

Open Issues: 552
Open PR: 138
Last Release: 4 years ago
Last Commit: 9 days ago

Further analysis of the maintenance status of nwhy 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 nwhy 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: No
Contributors: 350
Funding: No

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

We found a way for you to contribute to the project! Looks like nwhy is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.9

Age: 4 years
Latest Release: 4 years ago
Dependencies: N/A
Versions: 12
Maintainers: 1
Wheels: Linux, macOS

Readme

Installing NWhy

The NWhy library provides Pybind11 APIs for analysis of complex data set intepret as hypergraphs.

To install in an Anaconda environment

>>> conda create -n <env name> python=3.8

Then activate the environment

>>> conda activate <env name>

Install Intel Threading Building Blocks(TBB)

To install TBB:

>>> conda install tbb

If a local TBB has been install, we can specify TBBROOT

>>> export TBBROOT=/opt/tbb/

Install using Pip

For installation:

>>> pip install nwhy

For upgrade:

>>> pip install nwhy --upgrade

>>> pip install nwhy -U

Quick test with import

For quick test:

>>> python -c "import nwhy"

If there is no import error, then installation is done.

FAQs

What is nwhy?

NWhy project using pybind11 and CMake. Visit Snyk Advisor to see a full health score report for nwhy, including popularity, security, maintenance & community analysis.

Is nwhy popular?

The python package nwhy receives a total of 118 weekly downloads. As such, nwhy popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is nwhy well maintained?

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

Is nwhy safe to use?

The python package nwhy 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 00:15 (UTC).

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nwhy

NWhy project using pybind11 and CMake For more information about how to use this package see README

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Package Health Score

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Popularity

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Security

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Maintenance

Commit Frequency

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Package

Readme

Installing NWhy

To install in an Anaconda environment

Then activate the environment

Install Intel Threading Building Blocks(TBB)

Install using Pip

Quick test with import

FAQs

What is nwhy?

Is nwhy popular?

Is nwhy well maintained?

Is nwhy safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Explore Similar Packages

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Readme

Installing NWhy

To install in an Anaconda environment

Then activate the environment

Install Intel Threading Building Blocks(TBB)

Install using Pip

Quick test with import

FAQs

What is nwhy?

Is nwhy popular?

Is nwhy well maintained?

Is nwhy safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues