django-quicky | go straight to the point : url and view decorators
kandi X-RAY | django-quicky Summary
kandi X-RAY | django-quicky Summary
django-quicky is a Python library. django-quicky has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install django-quicky' or download it from GitHub, PyPI.
A collection of tools to make setting up Django quicker. It is NOT a microframework and is meant to be used withing an ordinary Django setup as it’s fully compatible with the standard usages.
A collection of tools to make setting up Django quicker. It is NOT a microframework and is meant to be used withing an ordinary Django setup as it’s fully compatible with the standard usages.
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Quality
Security
License
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Support
django-quicky has a low active ecosystem.
It has 374 star(s) with 25 fork(s). There are 18 watchers for this library.
It had no major release in the last 12 months.
There are 3 open issues and 3 have been closed. On average issues are closed in 2 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of django-quicky is 0.7.3
Quality
django-quicky has 0 bugs and 0 code smells.
Security
django-quicky has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
django-quicky code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
django-quicky 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
django-quicky 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.
Installation instructions are not available. Examples and code snippets are available.
django-quicky saves you 2798 person hours of effort in developing the same functionality from scratch.
It has 6055 lines of code, 47 functions and 20 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed django-quicky and discovered the below as its top functions. This is intended to give you an instant insight into django-quicky implemented functionality, and help decide if they suit your requirements.
- Add admin
- Add a module
- Add a url
- Patches the given model to the given class
- Get attribute value from obj
- A decorator to add urlpatterns
- Decorator for views views
- Handles the application configuration
- Generate a random secret key
- Serve request
- Get a setting
- Get a secret key from the environment
- Create a secret key from a file
- Creates a middleware middleware
- Initialize the Django user
- Get attribute value from an object
Get all kandi verified functions for this library.
django-quicky Key Features
No Key Features are available at this moment for django-quicky.
django-quicky Examples and Code Snippets
No Code Snippets are available at this moment for django-quicky.
Community Discussions
No Community Discussions are available at this moment for django-quicky.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django-quicky
You can install using 'pip install django-quicky' or download it from GitHub, PyPI.
You can use django-quicky 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.
You can use django-quicky 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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