reqns | parallelized LED and laser rate equation dynamics solver

by smhooten Python Version: Current License: Non-SPDX

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

kandi X-RAY | reqns Summary

reqns is a Python library. reqns has no bugs, it has no vulnerabilities, it has build file available and it has low support. However reqns has a Non-SPDX License. You can download it from GitHub.

A versatile, fully parallelized LED and laser rate equations solver built in Python. Warning: This solver is in a very early stage of development. Please email me to get started: shooten at berkeley dot edu.

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Quality

Security

License

Reuse

Support

reqns 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.

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

It has a neutral sentiment in the developer community.

The latest version of reqns is current.

Quality

reqns has no bugs reported.

Security

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

License

reqns has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

Build file is available. You can build the component from source.

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reqns Key Features

No Key Features are available at this moment for reqns.

reqns Examples and Code Snippets

No Code Snippets are available at this moment for reqns.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install reqns

You can download it from GitHub.
You can use reqns 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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