openshift_chatbot | openshift , python , flask , tensorflow and tflearn

by justindav1s Python Version: Current License: Apache-2.0

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

kandi X-RAY | openshift_chatbot Summary

openshift_chatbot is a Python library. openshift_chatbot has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

openshift, python, flask, tensorflow and tflearn

Support

Quality

Security

License

Reuse

Support

openshift_chatbot has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of openshift_chatbot is current.

Quality

openshift_chatbot has no bugs reported.

Security

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

License

openshift_chatbot is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

Build file is available. You can build the component from source.

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openshift_chatbot Key Features

No Key Features are available at this moment for openshift_chatbot.

openshift_chatbot Examples and Code Snippets

No Code Snippets are available at this moment for openshift_chatbot.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install openshift_chatbot

You can download it from GitHub.
You can use openshift_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 .

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