optimpy | Home of various optimization algorithms

by lx10077 Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | optimpy Summary

optimpy is a Python library. optimpy has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However optimpy build file is not available. You can download it from GitHub.

Home of various optimization algorithms.

Support

Quality

Security

License

Reuse

Support

optimpy has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

optimpy has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of optimpy is current.

Quality

optimpy has no bugs reported.

Security

optimpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

optimpy is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

optimpy releases are not available. You will need to build from source code and install.

optimpy has no build file. You will be need to create the build yourself to build the component from source.

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optimpy Key Features

No Key Features are available at this moment for optimpy.

optimpy Examples and Code Snippets

No Code Snippets are available at this moment for optimpy.

Community Discussions

No Community Discussions are available at this moment for optimpy.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install optimpy

You can download it from GitHub.
You can use optimpy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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