django-analytical | Analytics services for Django projects | Analytics library

by jazzband Python Version: 3.1.0 License: MIT

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

kandi X-RAY | django-analytical Summary

django-analytical is a Python library typically used in Analytics applications. django-analytical has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install django-analytical' or download it from GitHub, PyPI.

Analytics services for Django projects

Support

Quality

Security

License

Reuse

Support

django-analytical has a medium active ecosystem.

It has 1086 star(s) with 151 fork(s). There are 30 watchers for this library.

It had no major release in the last 12 months.

There are 31 open issues and 42 have been closed. On average issues are closed in 150 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of django-analytical is 3.1.0

Quality

django-analytical has 0 bugs and 43 code smells.

Security

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

django-analytical code analysis shows 0 unresolved vulnerabilities.

There are 69 security hotspots that need review.

License

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

Deployable package is available in PyPI.

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

django-analytical saves you 1941 person hours of effort in developing the same functionality from scratch.

It has 4274 lines of code, 490 functions and 70 files.

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

Top functions reviewed by kandi - BETA

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

Render the settings
Get the user s identity
Get the user from the context
Get a setting from the context
Render tracking code
Determine if the request is an internal IP
Disable HTML
Render the template
Returns a list of configuration variables
Render Slack button
Renders tracking code
Render the counter code
Register the extension
Render custom templates
Render the dashboard
Render JS code
Render to HTML
Render setup code
Load template nodes
Render the layout
Creates a heap node
Render the setup
Creates an analytical node
Render the identity code
Render the message
Return Facebook pixel head node

Get all kandi verified functions for this library.

django-analytical Key Features

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

django-analytical Examples and Code Snippets

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

Community Discussions

Trending Discussions on django-analytical

wagtail customized admin panels

QUESTION

wagtail customized admin panels

Asked 2020-May-08 at 10:47

is there a way of customizing my own admin panel , not in terms of styling. What i wish to achieve is a analytics tab , similar to wagalytics . The issue im having with wagalytics is that it is using google analytics , and google analytics is blocked by most adblockers and Mozilla fire fox , making the data really unreliable. As such i wish to utitlize other services like django-analytical to my wagtail administration page with a graph similar to that of wagalytics . However , i have not yet found any resources online that teaches me to override the admin and create my own customized panel (different from the customized tabs here ).

Could someone point me towards the right direction?

...

ANSWER

Answered 2020-May-08 at 10:47

To add a page (link) to the Wagtail admin menu, you can use the hook register_admin_menu_item.

Create a file my-app/wagtail_hooks.py and this will be run by Wagtail to hook in custom functionality.

Source https://stackoverflow.com/questions/61674008

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

Vulnerabilities

No vulnerabilities reported

Install django-analytical

You can install using 'pip install django-analytical' or download it from GitHub, PyPI.
You can use django-analytical 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: