django-dynamic-raw-id | formerly known as django-salmonella ) A raw_id_fields
kandi X-RAY | django-dynamic-raw-id Summary
kandi X-RAY | django-dynamic-raw-id Summary
django-dynamic-raw-id is a Python library. django-dynamic-raw-id 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-dynamic-raw-id' or download it from GitHub, PyPI.
(formerly known as django-salmonella) A raw_id_fields widget replacement that handles display of an object's string value on change and can be overridden via a template.
(formerly known as django-salmonella) A raw_id_fields widget replacement that handles display of an object's string value on change and can be overridden via a template.
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Quality
Security
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django-dynamic-raw-id has a low active ecosystem.
It has 146 star(s) with 42 fork(s). There are 16 watchers for this library.
There were 2 major release(s) in the last 6 months.
There are 5 open issues and 28 have been closed. On average issues are closed in 155 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of django-dynamic-raw-id is 4.2
Quality
django-dynamic-raw-id has 0 bugs and 0 code smells.
Security
django-dynamic-raw-id has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
django-dynamic-raw-id code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
django-dynamic-raw-id 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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django-dynamic-raw-id releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
django-dynamic-raw-id saves you 307 person hours of effort in developing the same functionality from scratch.
It has 740 lines of code, 46 functions and 23 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed django-dynamic-raw-id and discovered the below as its top functions. This is intended to give you an instant insight into django-dynamic-raw-id implemented functionality, and help decide if they suit your requirements.
- Render a label view .
- Returns the URL of the model .
- Return the Media instance .
- Returns the queryset filtered queryset .
- Overrides django s form field .
- Initialize the form field .
- Overrides django s form field .
- Render a field .
- Extract a value from a dictionary .
Get all kandi verified functions for this library.
django-dynamic-raw-id Key Features
No Key Features are available at this moment for django-dynamic-raw-id.
django-dynamic-raw-id Examples and Code Snippets
No Code Snippets are available at this moment for django-dynamic-raw-id.
Community Discussions
No Community Discussions are available at this moment for django-dynamic-raw-id.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django-dynamic-raw-id
You can install using 'pip install django-dynamic-raw-id' or download it from GitHub, PyPI.
You can use django-dynamic-raw-id 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-dynamic-raw-id 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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