Spruce-for-Munki | Clean up your filthy Munki Repo
kandi X-RAY | Spruce-for-Munki Summary
kandi X-RAY | Spruce-for-Munki Summary
Spruce-for-Munki is a Python library. Spruce-for-Munki has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However Spruce-for-Munki build file is not available. You can download it from GitHub.
Clean up your filthy Munki Repo
Clean up your filthy Munki Repo
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Quality
Security
License
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Support
Spruce-for-Munki has a low active ecosystem.
It has 41 star(s) with 3 fork(s). There are 4 watchers for this library.
It had no major release in the last 12 months.
There are 8 open issues and 1 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Spruce-for-Munki is 0.3.0
Quality
Spruce-for-Munki has 0 bugs and 0 code smells.
Security
Spruce-for-Munki has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Spruce-for-Munki code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Spruce-for-Munki is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
Spruce-for-Munki releases are available to install and integrate.
Spruce-for-Munki 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.
Spruce-for-Munki saves you 639 person hours of effort in developing the same functionality from scratch.
It has 1485 lines of code, 133 functions and 14 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Spruce-for-Munki and discovered the below as its top functions. This is intended to give you an instant insight into Spruce-for-Munki implemented functionality, and help decide if they suit your requirements.
- Show documentation for munki repo
- Get item information from a package
- Build pkginfo cache
- Render the document
- Given a list of manifest items return a set of used catalogs
- Adds an application version
- Check if the item satisfies the catalog requirements
- Return a set of applications that match the given OS
- Render the table
- Append an element to the list
- Test whether input is a markdown subclass
- Add dependencies from the repo
- Split a name_string into a tuple
- Return a mapping of manifest names to manifests
- Insert element at index
- Return the path to munki
- Get all catalogs
Get all kandi verified functions for this library.
Spruce-for-Munki Key Features
No Key Features are available at this moment for Spruce-for-Munki.
Spruce-for-Munki Examples and Code Snippets
Copy
usage: spruce [-h]
{name,report,category,recategorize,deprecate,icons,docs} ...
Spruce is a tool for improving the quality of your Munki repo.
positional arguments:
{name,report,category,recategorize,deprecate,icons,docs}
Community Discussions
No Community Discussions are available at this moment for Spruce-for-Munki.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Spruce-for-Munki
You can download it from GitHub.
You can use Spruce-for-Munki 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 Spruce-for-Munki 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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