drf-rw-serializers | Generic views , viewsets and mixins that extend the Django | REST library
kandi X-RAY | drf-rw-serializers Summary
kandi X-RAY | drf-rw-serializers Summary
drf-rw-serializers is a Python library typically used in Web Services, REST applications. drf-rw-serializers 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 drf-rw-serializers' or download it from GitHub, PyPI.
Generic views, viewsets and mixins that extend the Django REST Framework ones adding separated serializers for read and write operations
Generic views, viewsets and mixins that extend the Django REST Framework ones adding separated serializers for read and write operations
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Quality
Security
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Support
drf-rw-serializers has a low active ecosystem.
It has 152 star(s) with 22 fork(s). There are 28 watchers for this library.
There were 3 major release(s) in the last 6 months.
There are 3 open issues and 10 have been closed. On average issues are closed in 159 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of drf-rw-serializers is 1.4.0
Quality
drf-rw-serializers has 0 bugs and 0 code smells.
Security
drf-rw-serializers has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
drf-rw-serializers code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
drf-rw-serializers is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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drf-rw-serializers releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
drf-rw-serializers saves you 310 person hours of effort in developing the same functionality from scratch.
It has 746 lines of code, 58 functions and 23 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed drf-rw-serializers and discovered the below as its top functions. This is intended to give you an instant insight into drf-rw-serializers implemented functionality, and help decide if they suit your requirements.
- Get the version string
Get all kandi verified functions for this library.
drf-rw-serializers Key Features
No Key Features are available at this moment for drf-rw-serializers.
drf-rw-serializers Examples and Code Snippets
No Code Snippets are available at this moment for drf-rw-serializers.
Community Discussions
Trending Discussions on drf-rw-serializers
QUESTION
Partial updating a ManyToMany field, but keeping its get representation
Asked 2021-May-26 at 17:53
I've been scratching my head about this problem for a couple of hours now. Basically, I have two models: User and Project:
ANSWER
Answered 2021-May-26 at 15:44I'm assuming that you are using a ModelViewSet. You could use different serializers for different methods.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install drf-rw-serializers
You can install using 'pip install drf-rw-serializers' or download it from GitHub, PyPI.
You can use drf-rw-serializers 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 drf-rw-serializers 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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