covee-powerflow

by RWTH-ACS Python Version: Current License: MPL-2.0

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

kandi X-RAY | covee-powerflow Summary

covee-powerflow is a Python library. covee-powerflow has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. However covee-powerflow build file is not available. You can download it from GitHub.

covee-powerflow

Support

Quality

Security

License

Reuse

Support

covee-powerflow has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

covee-powerflow has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of covee-powerflow is current.

Quality

covee-powerflow has no bugs reported.

Security

covee-powerflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

covee-powerflow is licensed under the MPL-2.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

covee-powerflow releases are not available. You will need to build from source code and install.

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

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covee-powerflow Key Features

No Key Features are available at this moment for covee-powerflow.

covee-powerflow Examples and Code Snippets

No Code Snippets are available at this moment for covee-powerflow.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install covee-powerflow

You can download it from GitHub.
You can use covee-powerflow 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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