Package Health Score

62 / 100

security
Security review needed
popularity
Recognized
maintenance
Healthy
community
Limited

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Popularity

Recognized

GitHub Stars: 5
Forks: 3
Contributors: 6

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package dargs, we found that it has been starred 5 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Jul 15, 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
1
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

LGPL-3.0

Non-Permissive License

We noticed that this project uses a license which requires less permissive conditions such as disclosing the source code, stating changes or redistributing the source under the same license. It is advised to further consult the license terms before use.

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 2
Open PR: 1
Last Release: 4 months ago
Last Commit: 4 months ago

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

We found that dargs 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: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 6
Funding: No

This project has seen only 10 or less contributors.

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

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Package

Python Versions Compatibility: >=3.7

Age: 4 years
Latest Release: 4 months ago
Dependencies: 0 Direct
Versions: 27
Maintainers: 2
Wheels: OS Independent

Readme

Argument checking for python programs

This is a minimum version for checking the input argument dict. It would examine argument's type, as well as keys and types of its sub-arguments.

A special case called variant is also handled, where you can determine the items of a dict based the value of on one of its flag_name key.

There are three main methods of Argument class:

check method that takes a dict and see if its type follows the definition in the class
normalize method that takes a dict and convert alias and add default value into it
gendoc method that outputs the defined argument structure and corresponding docs

There are also check_value and normalize_value that ignore the leading key comparing to the base version.

When targeting to html rendering, additional anchor can be made for cross reference. Set make_anchor=True when calling gendoc function and use standard ref syntax in rst. The id is the same as the argument path. Variant types would be in square brackets.

Please refer to test files for detailed usage.

Additional features

PEP 484 type annotations
Native integration with Sphinx, DP-GUI, and Jupyter Notebook
JSON encoder for Argument and Variant classes
Generate JSON schema from an Argument, which can be further integrated with JSON editors such as Visual Studio Code

FAQs

What is dargs?

Process arguments for the deep modeling project. Visit Snyk Advisor to see a full health score report for dargs, including popularity, security, maintenance & community analysis.

Is dargs popular?

The python package dargs receives a total of 11,622 weekly downloads. As such, dargs popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is dargs well maintained?

We found that dargs demonstrated a healthy version release cadence and project activity. It has a community of 6 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is dargs safe to use?

While scanning the latest version of dargs, 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 31 October-2024, at 06:36 (UTC).

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dargs

Process arguments for the deep modeling project. For more information about how to use this package see README

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Package Health Score

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Package

Readme

Argument checking for python programs

Additional features

FAQs

What is dargs?

Is dargs popular?

Is dargs well maintained?

Is dargs safe to use?

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Scan your app for vulnerabilities

Fix identified vulnerabilities

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Package Health Score

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Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Snyk Vulnerability Scanner

Readme

Argument checking for python programs

Additional features

FAQs

What is dargs?

Is dargs popular?

Is dargs well maintained?

Is dargs 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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