pypeakflow | Python library for managing Arbor Peakflow SP
kandi X-RAY | pypeakflow Summary
kandi X-RAY | pypeakflow Summary
pypeakflow is a Python library. pypeakflow has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However pypeakflow build file is not available. You can download it from GitHub.
Python library for Arbor Peakflow SP. The various APIs of Arbors Peakflow SP system does not offer much in terms of configuring managed objects. This library aims to fix that and perhaps add more functionality for convenience of accessing other information in a Peakflow system. Status of this is alpha alpha.. but please contribute if you are interested in the topic :). I’m currently using both SUDS and ZSI for SOAP calls as I’m having difficulty decoding certain results with SUDS while for other stuff SUDS provides much better output.
Python library for Arbor Peakflow SP. The various APIs of Arbors Peakflow SP system does not offer much in terms of configuring managed objects. This library aims to fix that and perhaps add more functionality for convenience of accessing other information in a Peakflow system. Status of this is alpha alpha.. but please contribute if you are interested in the topic :). I’m currently using both SUDS and ZSI for SOAP calls as I’m having difficulty decoding certain results with SUDS while for other stuff SUDS provides much better output.
Support
Quality
Security
License
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Support
pypeakflow has a low active ecosystem.
It has 20 star(s) with 5 fork(s). There are 8 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of pypeakflow is current.
Quality
pypeakflow has 0 bugs and 0 code smells.
Security
pypeakflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pypeakflow code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pypeakflow 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
pypeakflow releases are not available. You will need to build from source code and install.
pypeakflow has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
It has 782 lines of code, 58 functions and 8 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pypeakflow and discovered the below as its top functions. This is intended to give you an instant insight into pypeakflow implemented functionality, and help decide if they suit your requirements.
- Creates an Alert object from the alert_id .
- Construct an interface rule from a list of configuration lines .
- Generate the XML representation of the pipeline .
- Return a new fetch challenge .
- save the object to peakflow
- Normalise a number .
- Initialize client .
- Creates a MoMatchAsPath instance from value .
- Executes a soap command
- Commit configuration changes .
Get all kandi verified functions for this library.
pypeakflow Key Features
No Key Features are available at this moment for pypeakflow.
pypeakflow Examples and Code Snippets
No Code Snippets are available at this moment for pypeakflow.
Community Discussions
No Community Discussions are available at this moment for pypeakflow.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pypeakflow
You can download it from GitHub.
You can use pypeakflow 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 pypeakflow 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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