Package Health Score

78 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

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Popularity

Small

GitHub Stars: 61
Forks: 50
Contributors: 40

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package boutiques, we found that it has been starred 61 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 12, 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: 92
Open PR: 11
Last Release: 10 days ago
Last Commit: 9 days ago

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

We found that boutiques demonstrates a positive version release cadence with at least one new version released in the past 3 months.

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: No
Contributors: 40
Funding: No

With more than 10 contributors for the boutiques 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 boutiques is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.9

Age: 7 years
Latest Release: 10 days ago
Dependencies: 4 Direct
Versions: 48
Maintainers: 0
Wheels: OS Independent

Readme

Boutiques

-.. image:: - :target: -.. image::

:target: -.. image::
:target: -.. image::

:target: -.. image::

:target:

Boutiques is a cross-platform descriptive command-line framework for applications.

The Power of Boutiques Tools

Boutiques is a framework to make data analysis tools Findable Accessible Interoperable and Reusable (FAIR). An overview of the framework and its capabilities is available here, and a more complete description is here.

Installation

Simple! Just open your favourite terminal and type:

$ pip install boutiques

Alongside installing the Boutiques package, this will also ensure the dependencies are installed for basic functionality: simplejson, jsonschema, termcolor, and tabulate. With this, you’ll be able to validate and run your tools through Boutiques. For full functionality, you can install the library as follows:

$ pip install boutiques[all]

This will add some more dependencies, and let you use all of the features: requests, pytest, termcolor, oyaml, tabulate and mock. Now you’ll also be able to search for tools and publish your own and records from when you ran your tool!

If you want the latest changes that aren’t officially released yet, you can also install directly from GitHub:

$ pip install "git+https://github.com/boutiques/boutiques@develop#egg=boutiques"

Tutorial

Our tutorial will introduce you to the main Boutiques features through its command line and Python APIs. Give it a try!

Contributing

Excited by the project and want to get involved?! Please check out our contributing guide, and look through the issues (in particular, those tagged with “good first issue”) to start seeing where you can lend a hand. We look forward to approving your amazing contributions!

Examples

We have a simple and a complex Boutiques descriptor to help you get started with your own descriptor.

boutiques dependencies

jsonschema simplejson tabulate termcolor

FAQs

What is boutiques?

Schema for describing bash command-line tools. Visit Snyk Advisor to see a full health score report for boutiques, including popularity, security, maintenance & community analysis.

Is boutiques popular?

The python package boutiques receives a total of 4,194 weekly downloads. As such, boutiques popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is boutiques well maintained?

We found that boutiques demonstrated a healthy version release cadence and project activity. It has a community of 40 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is boutiques safe to use?

The python package boutiques 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 19 December-2024, at 23:36 (UTC).

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boutiques

Schema for describing bash command-line tools For more information about how to use this package see README

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Package Health Score

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Maintenance

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Community

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Package

Readme

Boutiques

The Power of Boutiques Tools

Installation

Tutorial

Contributing

Examples

boutiques dependencies

FAQs

What is boutiques?

Is boutiques popular?

Is boutiques well maintained?

Is boutiques 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

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Snyk Vulnerability Scanner

Readme

Boutiques

The Power of Boutiques Tools

Installation

Tutorial

Contributing

Examples

boutiques dependencies

FAQs

What is boutiques?

Is boutiques popular?

Is boutiques well maintained?

Is boutiques 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