View local-attention on Snyk Open Source Advisor

Package Health Score

61 / 100

security
Security review needed
popularity
Recognized
maintenance
Sustainable
community
Limited

Popularity

Recognized

GitHub Stars: 396
Forks: 41
Contributors: 2

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package local-attention, we found that it has been starred 396 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Sep 6, 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

We found a way for you to contribute to the project! Looks like local-attention is missing a security policy.

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Maintenance

Sustainable

Commit Frequency

Open Issues: 3
Open PR: 1
Last Release: 4 months ago
Last Commit: 4 months ago

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

We found that local-attention 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

Limited

Readme: No
Contributing.md: No
Code of Conduct: No
Contributors: 2
Funding: No

This project has seen only 10 or less contributors.

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

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

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Package

Python Versions Compatibility: ==3.6.*

Age: 4 years
Latest Release: 4 months ago
Dependencies: 1 Direct / 9 Total
Versions: 45
Maintainers: 0
Wheels: OS Independent

local-attention dependencies

torch

FAQs

What is local-attention?

Local attention, window with lookback, for language modeling. Visit Snyk Advisor to see a full health score report for local-attention, including popularity, security, maintenance & community analysis.

Is local-attention popular?

The python package local-attention receives a total of 42,780 weekly downloads. As such, local-attention popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is local-attention well maintained?

We found indications that local-attention maintenance is sustainable demonstrating some project activity. We saw a total of 2 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is local-attention safe to use?

While scanning the latest version of local-attention, 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 26 December-2024, at 22:47 (UTC).

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local-attention

Local attention, window with lookback, for language modeling For more information about how to use this package see README

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Package Health Score

Popularity

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

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Package

local-attention dependencies

FAQs

What is local-attention?

Is local-attention popular?

Is local-attention well maintained?

Is local-attention 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

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

local-attention dependencies

FAQs

What is local-attention?

Is local-attention popular?

Is local-attention well maintained?

Is local-attention 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