listy-django-cache | A deterministic list cache for Django
kandi X-RAY | listy-django-cache Summary
kandi X-RAY | listy-django-cache Summary
listy-django-cache is a Python library. listy-django-cache 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 listy-django-cache' or download it from GitHub, PyPI.
Listy is a deterministic caching mechanism for django projects. It will keep the cache in-sync with the database by updating during changes instead of relying on timeouts. As implied by the name, Listy supports looking up lists of objects.
Listy is a deterministic caching mechanism for django projects. It will keep the cache in-sync with the database by updating during changes instead of relying on timeouts. As implied by the name, Listy supports looking up lists of objects.
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Quality
Security
License
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Support
listy-django-cache has a low active ecosystem.
It has 15 star(s) with 1 fork(s). There are 19 watchers for this library.
It had no major release in the last 12 months.
listy-django-cache has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of listy-django-cache is 0.9.0
Quality
listy-django-cache has 0 bugs and 0 code smells.
Security
listy-django-cache has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
listy-django-cache code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
listy-django-cache 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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listy-django-cache 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.
listy-django-cache saves you 541 person hours of effort in developing the same functionality from scratch.
It has 1268 lines of code, 142 functions and 17 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed listy-django-cache and discovered the below as its top functions. This is intended to give you an instant insight into listy-django-cache implemented functionality, and help decide if they suit your requirements.
- Gets a single object from the query
- Return single record by pk
- Gets multiple results
- Fetch a single object
- Rebuild the cache
- Delete and replace a key in memcache
- Delete objects from the database
- Return the keyword arguments for the given object
- Returns the number of instances matching the filter criteria
Get all kandi verified functions for this library.
listy-django-cache Key Features
No Key Features are available at this moment for listy-django-cache.
listy-django-cache Examples and Code Snippets
No Code Snippets are available at this moment for listy-django-cache.
Community Discussions
No Community Discussions are available at this moment for listy-django-cache.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install listy-django-cache
You can install using 'pip install listy-django-cache' or download it from GitHub, PyPI.
You can use listy-django-cache 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 listy-django-cache 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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