flask-pluginengine | Plugin system for Flask applications
kandi X-RAY | flask-pluginengine Summary
kandi X-RAY | flask-pluginengine Summary
flask-pluginengine is a Python library. flask-pluginengine has no bugs, it has no vulnerabilities, it has build file available and it has low support. However flask-pluginengine has a Non-SPDX License. You can install using 'pip install flask-pluginengine' or download it from GitHub, PyPI.
Plugin system for Flask applications
Plugin system for Flask applications
Support
Quality
Security
License
Reuse
Support
flask-pluginengine has a low active ecosystem.
It has 21 star(s) with 8 fork(s). There are 10 watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 4 have been closed. On average issues are closed in 294 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of flask-pluginengine is 0.5
Quality
flask-pluginengine has 0 bugs and 0 code smells.
Security
flask-pluginengine has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
flask-pluginengine code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
flask-pluginengine has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
flask-pluginengine 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.
flask-pluginengine saves you 379 person hours of effort in developing the same functionality from scratch.
It has 902 lines of code, 109 functions and 20 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed flask-pluginengine and discovered the below as its top functions. This is intended to give you an instant insight into flask-pluginengine implemented functionality, and help decide if they suit your requirements.
- Load plugins
- Given a dictionary of plugins and a set of plugins resolve them
- Get the plugin state
- Import plugins
- Decorate a function with a plugin context
- Context manager
- Wrap a function in a plugin context
- Load a plugin template
- Return a loader for the given template
- Get plugin by name
- Root render function
- Wrap a generator in a plugin context
- Return the description of the class
- Trim a docstring
- Memorize an object
- Recursively make a hashable object
- Return the active plugins
- Get the title of the docstring
- Return the instance of the plugin
Get all kandi verified functions for this library.
flask-pluginengine Key Features
No Key Features are available at this moment for flask-pluginengine.
flask-pluginengine Examples and Code Snippets
No Code Snippets are available at this moment for flask-pluginengine.
Community Discussions
No Community Discussions are available at this moment for flask-pluginengine.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install flask-pluginengine
You can install using 'pip install flask-pluginengine' or download it from GitHub, PyPI.
You can use flask-pluginengine 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 flask-pluginengine 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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