Spamnesty | A service that tries to have some fun with spam

by stavros Python Version: Current License: MIT License

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

kandi X-RAY | Spamnesty Summary

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

A service that tries to have some fun with spam.

Support

Quality

Security

License

Reuse

Support

Spamnesty has a low active ecosystem.

It has 197 star(s) with 36 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 13 open issues and 0 have been closed. On average issues are closed in 68 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Spamnesty is current.

Quality

Spamnesty has no bugs reported.

Security

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

License

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

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

Reuse

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

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

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Spamnesty Key Features

No Key Features are available at this moment for Spamnesty.

Spamnesty Examples and Code Snippets

No Code Snippets are available at this moment for Spamnesty.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Spamnesty

You can download it from GitLab.
You can use Spamnesty 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.