django-colorful | Extension to the Django web framework that provides database and form color fields

by charettes Python Version: 1.3 License: MIT

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

kandi X-RAY | django-colorful Summary

django-colorful is a Python library. django-colorful has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install django-colorful' or download it from GitHub, PyPI.

Extension to the Django web framework that provides database and form color fields

Support

Quality

Security

License

Reuse

Support

django-colorful has a low active ecosystem.

It has 169 star(s) with 61 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 22 have been closed. On average issues are closed in 90 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of django-colorful is 1.3

Quality

django-colorful has 0 bugs and 1 code smells.

Security

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

django-colorful code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

django-colorful 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-colorful 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-colorful saves you 137 person hours of effort in developing the same functionality from scratch.

It has 343 lines of code, 19 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Validate the color .
Render a javascript snippet .
Render a color field .
Add a form field to the RGBColorField .
Deconstruct the color field .
Render a list .
Set color field .

Get all kandi verified functions for this library.

django-colorful Key Features

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

django-colorful Examples and Code Snippets

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

Community Discussions

Trending Discussions on django-colorful

Not able to start `django` project in local as well as in docker

QUESTION

Not able to start `django` project in local as well as in docker

Asked 2020-Apr-02 at 05:13

I am using Docker to deploy Python2.7 application with Django1.8. I am facing some issue from last two days and I found error as below.

Docker Image: python:2.7-slim-buster

Error:

...

ANSWER

Answered 2020-Apr-02 at 05:13

Django-appconf version 1.0.4 only supports Django 1.11 and up and Python 3.5 and up. (https://github.com/django-compressor/django-appconf/blob/v1.0.4/setup.py). You need to downgrade to at least version 1.0.2 (supports Python 2.6+, doesn't say which django version: https://github.com/django-compressor/django-appconf/blob/v1.0.2/setup.py)

Source https://stackoverflow.com/questions/60975243

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

Vulnerabilities

No vulnerabilities reported

Install django-colorful

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