SDS-379R | Data and code for SDS 379R research report

by noderod Python Version: Current License: No License

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

kandi X-RAY | SDS-379R Summary

SDS-379R is a Python library. SDS-379R has no bugs, it has no vulnerabilities and it has low support. However SDS-379R build file is not available. You can download it from GitHub.

Data and code for SDS 379R research report

Support

Quality

Security

License

Reuse

Support

SDS-379R 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.

SDS-379R has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SDS-379R is current.

Quality

SDS-379R has no bugs reported.

Security

SDS-379R has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

SDS-379R does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

SDS-379R releases are not available. You will need to build from source code and install.

SDS-379R has no build file. You will be need to create the build yourself to build the component from source.

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SDS-379R Key Features

No Key Features are available at this moment for SDS-379R.

SDS-379R Examples and Code Snippets

No Code Snippets are available at this moment for SDS-379R.

Community Discussions

No Community Discussions are available at this moment for SDS-379R.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install SDS-379R

You can download it from GitHub.
You can use SDS-379R 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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