djentle_django

by novawebdevelopment Python Version: Current License: No License

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

kandi X-RAY | djentle_django Summary

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

djentle_django

Support

Quality

Security

License

Reuse

Support

djentle_django has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of djentle_django is current.

Quality

djentle_django has no bugs reported.

Security

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

License

djentle_django 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

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

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

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djentle_django Key Features

No Key Features are available at this moment for djentle_django.

djentle_django Examples and Code Snippets

No Code Snippets are available at this moment for djentle_django.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install djentle_django

You can download it from GitLab.
You can use djentle_django 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 GitLab. If you have any questions check and ask questions on community page Stack Overflow .

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