kandi X-RAY | django-anonymizer Summary
kandi X-RAY | django-anonymizer Summary
django-anonymizer is a Python library. django-anonymizer 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-anonymizer' or download it from GitHub, PyPI.
django-anonymizer
django-anonymizer
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Quality
Security
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django-anonymizer has a low active ecosystem.
It has 13 star(s) with 13 fork(s). There are 57 watchers for this library.
It had no major release in the last 12 months.
There are 5 open issues and 0 have been closed. On average issues are closed in 1245 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of django-anonymizer is 0.5.1
Quality
django-anonymizer has 0 bugs and 0 code smells.
Security
django-anonymizer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
django-anonymizer code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
django-anonymizer 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-anonymizer 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-anonymizer saves you 301 person hours of effort in developing the same functionality from scratch.
It has 725 lines of code, 82 functions and 16 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed django-anonymizer and discovered the below as its top functions. This is intended to give you an instant insight into django-anonymizer implemented functionality, and help decide if they suit your requirements.
- Validate app configuration
- Generates chunks of the queryset
- Returns the queryset of the model
- Run the queryset
- Create an anonymizer module
- Return the appropriate text for a given field
- Create anonymizer for a model
- Generate a random lorem
- Generate lorem ipsum text
- Return a valid value for the field
- Generates a random decimal
- Returns a random decimal value
- Generate a random pattern
- Generates a random integer
- Generate a random varchar value
- Generates a random date
- Generates a random datetime
- Generate a random small integer
- Generates a random integer
- Generate random date
- Generate a random UUID
- Generate a random postcode
- Generate a randomorem
- Generate random datetime
- Return a random choice
- Generate a random country
Get all kandi verified functions for this library.
django-anonymizer Key Features
No Key Features are available at this moment for django-anonymizer.
django-anonymizer Examples and Code Snippets
No Code Snippets are available at this moment for django-anonymizer.
Community Discussions
No Community Discussions are available at this moment for django-anonymizer.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django-anonymizer
You can install using 'pip install django-anonymizer' or download it from GitHub, PyPI.
You can use django-anonymizer 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-anonymizer 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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