Redfish-Tools | DMTF-produced tools to support the Redfish Specification
kandi X-RAY | Redfish-Tools Summary
kandi X-RAY | Redfish-Tools Summary
Redfish-Tools is a Python library. Redfish-Tools has low support. However Redfish-Tools has 1224 bugs, it has 14 vulnerabilities, it build file is not available and it has a Non-SPDX License. You can download it from GitHub.
DMTF-produced tools to support the Redfish Specification
DMTF-produced tools to support the Redfish Specification
Support
Quality
Security
License
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Support
Redfish-Tools has a low active ecosystem.
It has 65 star(s) with 27 fork(s). There are 45 watchers for this library.
It had no major release in the last 12 months.
There are 17 open issues and 105 have been closed. On average issues are closed in 209 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of Redfish-Tools is doc_gen_v2.0.0
Quality
Redfish-Tools has 1224 bugs (9 blocker, 0 critical, 723 major, 492 minor) and 613 code smells.
Security
Redfish-Tools has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Redfish-Tools code analysis shows 14 unresolved vulnerabilities (14 blocker, 0 critical, 0 major, 0 minor).
There are 26 security hotspots that need review.
License
Redfish-Tools 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
Redfish-Tools releases are available to install and integrate.
Redfish-Tools has no build file. You will be need to create the build yourself to build the component from source.
Redfish-Tools saves you 6600 person hours of effort in developing the same functionality from scratch.
It has 13708 lines of code, 547 functions and 71 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Redfish-Tools and discovered the below as its top functions. This is intended to give you an instant insight into Redfish-Tools implemented functionality, and help decide if they suit your requirements.
- Parse the error field
- Create a list of Expression objects
- Get Annotation elements
- Return the list of elements with the given name
- Combine configs
- Gets the current TOC
- Parse mockups
- Validate the scope
- Find namespace in scope
- Parse a nested property
- Checks that the scope is a valid nested type
- Checks the scope of the given schema
- Parse the error_id
- Parse the schema
- Verify that this element is within the scope
- Formats action parameters
- Parse an error
- Check for URI information
- Performs validation on the scope
- Render documentation
- Check the scope of the action
- Parse command line arguments
- Format a single property row
- Formats the property details
- Format the properties for a property
- Parse the schema element
Get all kandi verified functions for this library.
Redfish-Tools Key Features
No Key Features are available at this moment for Redfish-Tools.
Redfish-Tools Examples and Code Snippets
No Code Snippets are available at this moment for Redfish-Tools.
Community Discussions
No Community Discussions are available at this moment for Redfish-Tools.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Redfish-Tools
You can download it from GitHub.
You can use Redfish-Tools 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 Redfish-Tools 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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