Package Health Score

67 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Active

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Popularity

Small

GitHub Stars: 4.99K
Forks: 370
Contributors: 140

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package vdd, we found that it has been starred 4,986 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 7, 2023
Direct Vulnerabilities: 0
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0
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0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
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License Risk: 0
H
0
M
0
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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: 188
Open PR: 38
Last Release: 1 year ago
Last Commit: 1 month ago

Further analysis of the maintenance status of vdd 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 vdd 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: Yes
Contributors: 140
Funding: No

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

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Package

Python Versions Compatibility: >=3.8,<3.13

Age: 7 years
Latest Release: 1 year ago
Dependencies: 7 Direct
Versions: 10
Maintainers: 0
Wheels: OS Independent

Readme

Tools for Value-Driven Design

Tools intended to help with modelling decisions in a value centric design process. The intent is to keep this as generic as possible, as some of this decision modelling is suited to generic decision-making, non-design activities with a little massaging.

Features

Concept Design Analysis (CODA) method implementation
Requirements weighting with a Binary Weighting Matrix
Programmatic or Spreadsheet based model creation (via Excel workbooks or Google Sheets).

Install

pip install vdd

Documentation

Currently just stored in the repo.

Development

poetry must be installed in the local development environment as a pre-requisite. In the repository root:

poetry install

Releases

Managed by Release Please with auto-versioning. Changes to default branch will be accumulated in a release PR based on Conventional Commits. Merging the release PR will automatically publish the versioned package to PyPI.

Roadmap

Model sets for comparative work (rather than a single set of characteristic parameter values)
Improved visualisation
Export CODA models to Excel template
House of Quality style requirement/characteristic weighting
Pandas everywhere (v1.x)

References

Based on my own degree notes and open access literature:

M.H. Eres et al, 2014. Mapping Customer Needs to Engineering Characteristics: An Aerospace Perspective for Conceptual Design - Journal of Engineering Design pp. 1-24

vdd dependencies

numpy openpyxl pandas platformdirs pygsheets pytz xlrd

FAQs

What is vdd?

Tools for Value-Driven Design. Visit Snyk Advisor to see a full health score report for vdd, including popularity, security, maintenance & community analysis.

Is vdd popular?

The python package vdd receives a total of 79 weekly downloads. As such, vdd popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is vdd well maintained?

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

Is vdd safe to use?

The python package vdd 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 18 December-2024, at 23:19 (UTC).

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