Package Health Score

68 / 100

security
Security review needed
popularity
Recognized
maintenance
Sustainable
community
Sustainable

Popularity

Recognized

GitHub Stars: 539
Forks: 152
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package Platypus-Opt, we found that it has been starred 539 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Jan 15, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 1
H
0
M
0
L

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

License

GPL-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

Sustainable

Commit Frequency

Open Issues: 1
Open PR: 0
Last Release: 3 months ago
Last Commit: 3 months ago

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

We found that Platypus-Opt 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

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 20
Funding: Yes

With more than 10 contributors for the Platypus-Opt 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 Platypus-Opt is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.6

Age: 6 years
Latest Release: 3 months ago
Dependencies: 1 Direct / 1 Total
Versions: 7
Maintainers: 1
Wheels: OS Independent

Readme

Platypus

What is Platypus?

Platypus is a framework for evolutionary computing in Python with a focus on multiobjective evolutionary algorithms (MOEAs). It differs from existing optimization libraries, including PyGMO, Inspyred, DEAP, and Scipy, by providing optimization algorithms and analysis tools for multiobjective optimization. It currently supports NSGA-II, NSGA-III, MOEA/D, IBEA, Epsilon-MOEA, SPEA2, GDE3, OMOPSO, SMPSO, and Epsilon-NSGA-II. For more information, see our IPython Notebook or our online documentation.

Example

For example, optimizing a simple biobjective problem with a single real-valued decision variables is accomplished in Platypus with:


    from platypus import NSGAII, Problem, Real

    def schaffer(x):
        return [x[0]**2, (x[0]-2)**2]

    problem = Problem(1, 2)
    problem.types[:] = Real(-10, 10)
    problem.function = schaffer

    algorithm = NSGAII(problem)
    algorithm.run(10000)

Installation

To install the latest Platypus release, run the following command:

    pip install platypus-opt

To install the latest development version of Platypus, run the following commands:

    pip install -U build setuptools
    git clone https://github.com/Project-Platypus/Platypus.git
    cd Platypus
    python -m build

Anaconda

Platypus is also available via conda-forge.

    conda config --add channels conda-forge
    conda install platypus-opt

For more information see the feedstock located here.

License

Platypus is released under the GNU General Public License.

Platypus-Opt dependencies

numpy

FAQs

What is Platypus-Opt?

Multiobjective optimization in Python. Visit Snyk Advisor to see a full health score report for Platypus-Opt, including popularity, security, maintenance & community analysis.

Is Platypus-Opt popular?

The python package Platypus-Opt receives a total of 1,552 weekly downloads. As such, Platypus-Opt popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is Platypus-Opt well maintained?

We found indications that Platypus-Opt maintenance is sustainable demonstrating some project activity. We saw a total of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is Platypus-Opt safe to use?

While scanning the latest version of Platypus-Opt, 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 18 April-2024, at 08:59 (UTC).

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Platypus-Opt

Multiobjective optimization in Python 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

Non-Permissive License

Maintenance

Commit Frequency

Community

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Package

Readme

Platypus

What is Platypus?

Example

Installation

Anaconda

License

Platypus-Opt dependencies

FAQs

What is Platypus-Opt?

Is Platypus-Opt popular?

Is Platypus-Opt well maintained?

Is Platypus-Opt safe to use?

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Package Health Score

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Readme

Platypus

What is Platypus?

Example

Installation

Anaconda

License

Platypus-Opt dependencies

FAQs

What is Platypus-Opt?

Is Platypus-Opt popular?

Is Platypus-Opt well maintained?

Is Platypus-Opt safe to use?

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Source Code

Open Source

Container

Config

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