f5-common-python | Python SDK for configuration and monitoring of F5 BIG-IP | Monitoring library

by F5Networks Python Version: v3.0.11.1 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | f5-common-python Summary

f5-common-python is a Python library typically used in Performance Management, Monitoring applications. f5-common-python 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 f5-common-python' or download it from GitHub, PyPI.

Python SDK for configuration and monitoring of F5® BIG-IP® devices via the iControl® REST API.

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Quality

Security

License

Reuse

Support

f5-common-python has a low active ecosystem.

It has 225 star(s) with 124 fork(s). There are 64 watchers for this library.

It had no major release in the last 12 months.

There are 93 open issues and 764 have been closed. On average issues are closed in 128 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of f5-common-python is v3.0.11.1

Quality

f5-common-python has 0 bugs and 0 code smells.

Security

f5-common-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

f5-common-python code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

f5-common-python is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

f5-common-python releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed f5-common-python and discovered the below as its top functions. This is intended to give you an instant insight into f5-common-python implemented functionality, and help decide if they suit your requirements.

Create a new resource
Check required params
Check mutually exclusive arguments
Handle request parameters
Check to see if a service exists
Build a service URI
Creates a new instance
Update the translation address
Check if the BigIP exists
Check required load parameters
Parse command line arguments
Handle flagged arguments
Check if a file exists
Delete this object
Create a new model
Return the environment
Change requirements from the spec file
Convert a string to a scan code
Return a dictionary of arguments to pass to the command line
Build packages
Delete a license
Get a collection of entities
Exit gracefully
Check to see if a file exists
Creates a new SNAT object
Get a collection of the resource

Get all kandi verified functions for this library.

f5-common-python Key Features

No Key Features are available at this moment for f5-common-python.

f5-common-python Examples and Code Snippets

No Code Snippets are available at this moment for f5-common-python.

Community Discussions

Trending Discussions on f5-common-python

Can we create Monitor and associate with Pools using the ManagementRoot instance using F5-common-python?

QUESTION

Can we create Monitor and associate with Pools using the ManagementRoot instance using F5-common-python?

Asked 2018-Mar-21 at 13:54

Using REST we create monitor(for instance ltm) :

[POST] /mgmt/tm/ltm/monitor/$template_name

POST - Body

...

ANSWER

Answered 2018-Mar-21 at 13:54

Okay, so the ManagementRoot code I figured is as follows

Source https://stackoverflow.com/questions/49403480

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install f5-common-python

You can install using 'pip install f5-common-python' or download it from GitHub, PyPI.
You can use f5-common-python 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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