Linknoide | python application to automatically generate

by moak13 Python Version: Current License: MIT

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

kandi X-RAY | Linknoide Summary

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

A python application to automatically generate a project activity sequence network plot from a spreadsheet

Support

Quality

Security

License

Reuse

Support

Linknoide has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of Linknoide is current.

Quality

Linknoide has no bugs reported.

Security

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

License

Linknoide 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

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

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

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Linknoide Key Features

No Key Features are available at this moment for Linknoide.

Linknoide Examples and Code Snippets

No Code Snippets are available at this moment for Linknoide.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Linknoide

You can download it from GitHub.
You can use Linknoide 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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