View numexpr on Snyk Open Source Advisor

Package Health Score

90 / 100

security
No known security issues
popularity
Key ecosystem project
maintenance
Healthy
community
Sustainable

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Popularity

Key ecosystem project

GitHub Stars: 2.24K
Forks: 212
Contributors: 70

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package numexpr, we found that it has been starred 2,240 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jun 20, 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

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 1
Open PR: 1
Last Release: 5 months ago
Last Commit: 2 months ago

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

We found that numexpr demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: No
Contributing.md: No
Code of Conduct: No
Contributors: 70
Funding: No

With more than 10 contributors for the numexpr repository, this is possibly a sign for a growing and inviting community.

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

How about a good first contribution to this project? It seems that numexpr is missing a README file.

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Package

Python Versions Compatibility: >=3.9

Age: 16 years
Latest Release: 5 months ago
Dependencies: 0 Direct
Versions: 51
Maintainers: 4
Wheels: Linux, macOS, Musllinux, Windows

Not sure how to use numexpr?

To help you get started, we've collected the most common ways that numexpr is being used within popular public projects.

pydata / numexpr / bench / issue-36.py View on Github

def bench(N):
    print "*** array length:", N
    a = np.arange(N)
    t0 = time()
    ntimes = (1000*2**15) // N
    for i in xrange(ntimes):
        ne.evaluate('a>1000')
    print "numexpr--> %.3g" % ((time()-t0)/ntimes,)

    t0 = time()
    for i in xrange(ntimes):
        eval('a>1000')
    print "numpy--> %.3g" % ((time()-t0)/ntimes,)

View more ways to use numexpr

FAQs

What is numexpr?

Fast numerical expression evaluator for NumPy. Visit Snyk Advisor to see a full health score report for numexpr, including popularity, security, maintenance & community analysis.

Is numexpr popular?

The python package numexpr receives a total of 1,591,901 weekly downloads. As such, numexpr popularity was classified as a key ecosystem project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is numexpr well maintained?

We found that numexpr demonstrated a healthy version release cadence and project activity. It has a community of 70 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is numexpr safe to use?

The python package numexpr 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 November-2024, at 11:12 (UTC).

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numexpr

Fast numerical expression evaluator for NumPy For more information about how to use this package see README

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Package Health Score

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Package

Not sure how to use numexpr?

FAQs

What is numexpr?

Is numexpr popular?

Is numexpr well maintained?

Is numexpr 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

Not sure how to use numexpr?

FAQs

What is numexpr?

Is numexpr popular?

Is numexpr well maintained?

Is numexpr 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

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