Package Health Score

57 / 100

security
No known security issues
popularity
Limited
maintenance
Inactive
community
Sustainable

Popularity

Limited

GitHub Stars: 11
Forks: 7
Contributors: 5

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package aiscan, we found that it has been starred 11 times.

Security

No known security issues

Security and license risk for latest version

Release Date: May 23, 2022
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

Apache-2.0

Security Policy

Yes

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Maintenance

Inactive

Commit Frequency

Open Issues: 2
Open PR: 5
Last Release: 3 years ago
Last Commit: 9 days ago

Further analysis of the maintenance status of aiscan 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 aiscan 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

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 5
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.8

Age: 3 years
Latest Release: 3 years ago
Dependencies: 5 Direct
Versions: 3
Maintainers: 2
Wheels: OS Independent

Readme

AI Scan

This is a scanner that will scan your AI models for problems. Currently it focuses on bias testing. It is currently pre-alpha.

How to Use

First install it:

pip install aiscan

Run it in this manner (currently supports models from HuggingFace's repository):

aiscan --huggingface roberta-base --task fill-mask

Here is another example with a different bias task.

aiscan --huggingface cross-encoder/nli-distilroberta-base --task zero-shot-classification

That's it for now. More will come.

Future Work

More bias tests. More metrics for bias testing based on the research in the field.
Integration with other types of testing (eg. adversarial robustness)
More kinds of models besides HuggingFace models. We are especially interested in MLFlow integration.
Documentation.

Please contribute if you can. Help is always helpful.

License

Apache

Credit

A project of IQT Labs.

aiscan dependencies

pandas tabulate torch transformers types-tabulate

FAQs

What is aiscan?

Scan AI models for problems. Visit Snyk Advisor to see a full health score report for aiscan, including popularity, security, maintenance & community analysis.

Is aiscan popular?

The python package aiscan receives a total of 39 weekly downloads. As such, aiscan popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is aiscan well maintained?

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

Is aiscan safe to use?

The python package aiscan 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 17 November-2024, at 19:46 (UTC).

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aiscan

Scan AI models for problems 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

Readme

AI Scan

How to Use

Future Work

License

Credit

aiscan dependencies

FAQs

What is aiscan?

Is aiscan popular?

Is aiscan well maintained?

Is aiscan 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

Readme

AI Scan

How to Use

Future Work

License

Credit

aiscan dependencies

FAQs

What is aiscan?

Is aiscan popular?

Is aiscan well maintained?

Is aiscan 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