django-google-analytics | simple django application to using Google Analytics | Analytics library

by clintecker Python Version: Current License: MIT

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

kandi X-RAY | django-google-analytics Summary

django-google-analytics is a Python library typically used in Analytics applications. django-google-analytics 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.

A simple django application to using Google Analytics in your project and tying different GA tags to different sites

Support

Quality

Security

License

Reuse

Support

django-google-analytics has a low active ecosystem.

It has 170 star(s) with 74 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 0 have been closed. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of django-google-analytics is current.

Quality

django-google-analytics has 0 bugs and 0 code smells.

Security

django-google-analytics has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

django-google-analytics code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

django-google-analytics 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

django-google-analytics 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.

It has 192 lines of code, 20 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Render the template .
Get an Analytics node .
Initialize the template .
Return the unicode code .

Get all kandi verified functions for this library.

django-google-analytics Key Features

No Key Features are available at this moment for django-google-analytics.

django-google-analytics Examples and Code Snippets

No Code Snippets are available at this moment for django-google-analytics.

Community Discussions

Trending Discussions on django-google-analytics

Know if django-google-analytics-app was installed

Using Django to install Google Analytics tracking code

QUESTION

Know if django-google-analytics-app was installed

Asked 2020-Feb-03 at 17:32

I am trying to install the Google Analytics apps in Django and when trying:

...

ANSWER

Answered 2020-Feb-03 at 17:32

django-google-analytics-app will not give you a binary file to get the version against. You can run the following command to see if the package is installed.

Source https://stackoverflow.com/questions/60044160

QUESTION

Using Django to install Google Analytics tracking code

Asked 2020-Feb-03 at 16:57

AIM

Using Django to install Google Analytics.

PROBLEM

It isn't clear to me if I need to apply the following lines to ALL the templates I am interested in tracking or just to index.html.

...

ANSWER

Answered 2020-Feb-03 at 16:49

The best way would be to create a seperate template called analytics.html and put your analytics code in this file then add the line

Source https://stackoverflow.com/questions/60043420

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

Vulnerabilities

No vulnerabilities reported

Install django-google-analytics

You can download it from GitHub.
You can use django-google-analytics 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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