demo_code

by alphachainio Python Version: Current License: MIT

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

kandi X-RAY | demo_code Summary

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

demo_code

Support

Quality

Security

License

Reuse

Support

demo_code has a low active ecosystem.

It has 2 star(s) with 5 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of demo_code is current.

Quality

demo_code has no bugs reported.

Security

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

License

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

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

Reuse

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

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

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demo_code Key Features

No Key Features are available at this moment for demo_code.

demo_code Examples and Code Snippets

No Code Snippets are available at this moment for demo_code.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install demo_code

You can download it from GitHub.
You can use demo_code 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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