Twitter-chatbot | Dead ssimple Twitter DM | Chat library

by Oliver2213 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Twitter-chatbot Summary

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

#Simple Twitter Chat bot.

Support

Quality

Security

License

Reuse

Support

Twitter-chatbot has a low active ecosystem.

It has 6 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Twitter-chatbot has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Twitter-chatbot is current.

Quality

Twitter-chatbot has 0 bugs and 0 code smells.

Security

Twitter-chatbot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Twitter-chatbot code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Twitter-chatbot 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

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

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

It has 105 lines of code, 6 functions and 2 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed Twitter-chatbot and discovered the below as its top functions. This is intended to give you an instant insight into Twitter-chatbot implemented functionality, and help decide if they suit your requirements.

Start twitter chatbot .
Called when a direct message is received .
Initialize twitter connection
Called when the bot is disconnected .
Handle an error .
Called when a status is received .

Get all kandi verified functions for this library.

Twitter-chatbot Key Features

No Key Features are available at this moment for Twitter-chatbot.

Twitter-chatbot Examples and Code Snippets

No Code Snippets are available at this moment for Twitter-chatbot.

Community Discussions

Trending Discussions on Twitter-chatbot

Twitter Quick Replies - Twitter4J (Java) Example

QUESTION

Twitter Quick Replies - Twitter4J (Java) Example

Asked 2017-Jul-03 at 15:15

Does anybody know if there is a support in Twitter4J (or a Java dependency) for Quick replies? I recently read that Twitter will support messanger-customizations (link), like Facebook (persistent menus, button templates) ?

...

ANSWER

Answered 2017-Jul-03 at 15:15

This is a brand new API from Twitter, so at the moment there are few client libraries that directly support these new features through interfaces and methods. Twitter4J has no specific support for the new API endpoints and formats, but in theory you could modify or extend the existing Direct Message support in Twitter4J to enable that.

Twitter has an end-to-end sample for the new Account Activity API webhooks and the new Direct Message formats written in node.js, if you are interested in adapting something.

Source https://stackoverflow.com/questions/44884984

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

Vulnerabilities

No vulnerabilities reported

Install Twitter-chatbot

You can download it from GitHub.
You can use Twitter-chatbot 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: