Spam-Bot | spam bot which can bombard with messages | Bot library

by aaryanporwal Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | Spam-Bot Summary

Spam-Bot is a Python library typically used in Telecommunications, Media, Advertising, Marketing, Automation, Bot applications. Spam-Bot has no bugs, it has no vulnerabilities and it has low support. However Spam-Bot build file is not available. You can download it from GitHub.

A spam bot which can bombard with messages anywhere . Use with caution.

Support

Quality

Security

License

Reuse

Support

Spam-Bot has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Spam-Bot has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Spam-Bot is current.

Quality

Spam-Bot has 0 bugs and 0 code smells.

Security

Spam-Bot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Spam-Bot code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Spam-Bot 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

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

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

Installation instructions are not available. Examples and code snippets are available.

It has 6 lines of code, 0 functions and 1 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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Spam-Bot Key Features

No Key Features are available at this moment for Spam-Bot.

Spam-Bot Examples and Code Snippets

No Code Snippets are available at this moment for Spam-Bot.

Community Discussions

Trending Discussions on Spam-Bot

Jenkins "unable to resolve class Declarative" error when building Python script

Obfuscating an email using JavaScript

QUESTION

Jenkins "unable to resolve class Declarative" error when building Python script

Asked 2021-Dec-23 at 12:01

I began learning to use to Jenkins and wanted to make it run a Python script of mine automatically. I followed their tutorial and created a new Project called Pipeline Test.

I've also added the GitHub repo of a Python script I wanted to test (https://github.com/mateasmario/spam-bot).

As you can see, I've created a Jenkinsfile in that repo. Because my script is called spam-bot.py, I want my Jenkinsfile to run that script every time I click "Build now" inside Jenkins. This is the content of my Jenkinsfile:

...

ANSWER

Answered 2021-Dec-23 at 12:01

Your Jenkinsfile contains invalid syntax on the first line, which is why the error is being thrown. Assuming you intended that first line to be a comment, you can modify the pipeline code to be:

Source https://stackoverflow.com/questions/70459146

QUESTION

Obfuscating an email using JavaScript

Asked 2020-Jan-18 at 13:58

I understand that this question has been asked many a times and the general consensus is that spam-bots will always figure out a way to harvest emails eventually so it is a lost cause. But I want a newly created email visible on a page that I created and I want at least something that protects it from spam-bots. Here is a simple JavaScript technique I wish to use:

...

ANSWER

Answered 2020-Jan-18 at 13:58

So I ended up using the following:

Source https://stackoverflow.com/questions/59782543

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

Vulnerabilities

No vulnerabilities reported

Install Spam-Bot

You can download it from GitHub.
You can use Spam-Bot 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 .

Find more information at: