django-mutant | Dynamic model definition and alteration
kandi X-RAY | django-mutant Summary
kandi X-RAY | django-mutant Summary
django-mutant is a Python library. django-mutant 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-mutant' or download it from GitHub, PyPI.
Dynamic model definition and alteration (evolving schemas)
Dynamic model definition and alteration (evolving schemas)
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Quality
Security
License
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django-mutant has a low active ecosystem.
It has 237 star(s) with 33 fork(s). There are 24 watchers for this library.
It had no major release in the last 12 months.
There are 6 open issues and 36 have been closed. On average issues are closed in 145 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of django-mutant is 0.3a5
Quality
django-mutant has 0 bugs and 0 code smells.
Security
django-mutant has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
django-mutant code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
django-mutant 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-mutant 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-mutant saves you 2418 person hours of effort in developing the same functionality from scratch.
It has 5269 lines of code, 356 functions and 109 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed django-mutant and discovered the below as its top functions. This is intended to give you an instant insight into django-mutant implemented functionality, and help decide if they suit your requirements.
- Modify unique_together field definitions
- Mark model as obsolete
- Perform action on model
- Yield migrations for the given model
- Context manager that restores the app cache
- Creates a deep copy of obj
- Context manager
- Render a model state
- Creates a ModelState from a model
- Returns a mapping of model states to model states
- Convert the value to a Python object
- Return True if the value is a gettext promise
- Stop the thread
- Unsubscribe from pubsub
- Clear the checksum for a definition
- Return the cache key for a given Pk
- Prepare mutable model class
- Clear options related to options_class
- Deletes the model
- Checks if the class is obsolete
- Set the ordering of the order
- Returns the ordering set
- Override save method
- Clean the definition
- Store the checksum for a definition
- Get the checksum of a given definition
Get all kandi verified functions for this library.
django-mutant Key Features
No Key Features are available at this moment for django-mutant.
django-mutant Examples and Code Snippets
No Code Snippets are available at this moment for django-mutant.
Community Discussions
No Community Discussions are available at this moment for django-mutant.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django-mutant
You can install using 'pip install django-mutant' or download it from GitHub, PyPI.
You can use django-mutant 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-mutant 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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