recipe-robot | A kick ass tool for creating AutoPkg recipes

by homebysix Python Version: v2.2.0 License: Apache-2.0

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

kandi X-RAY | recipe-robot Summary

recipe-robot is a Python library. recipe-robot has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However recipe-robot build file is not available. You can download it from GitHub.

Recipe Robot is the easiest way to create new AutoPkg recipes for simple Mac apps. It consists of two components:. Download the latest release, or see detailed requirements and installation steps on the wiki. For helpful information on using Recipe Robot, including tutorials and troubleshooting information, see the wiki. If you encounter a reproductible problem with Recipe Robot, I encourage you to open an issue on GitHub.

Support

Quality

Security

License

Reuse

Support

recipe-robot has a low active ecosystem.

It has 235 star(s) with 23 fork(s). There are 24 watchers for this library.

It had no major release in the last 12 months.

There are 28 open issues and 109 have been closed. On average issues are closed in 286 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of recipe-robot is v2.2.0

Quality

recipe-robot has 0 bugs and 0 code smells.

Security

recipe-robot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

recipe-robot code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

recipe-robot 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

recipe-robot releases are available to install and integrate.

recipe-robot has no build file. You will be need to create the build yourself to build the component from source.

recipe-robot saves you 2367 person hours of effort in developing the same functionality from scratch.

It has 3962 lines of code, 164 functions and 17 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Generate download recipe
Append a processor
Return True if key is from app store store
Create a processor class
Generate Munki recipe
Create destination directories
Set parent recipe from facts
Extract an app icon
Generate recipes
Write the recipe to path
Process the input path
Write the recipe to a path
Return a processor factory
Download url to file
Generate a recipe for the App Store
Prompt the user
Generate the Munki recipe
Generate a JSS - upload recipe
Generate a recipe
Generate a deployment recipe
Generate a LANrev recipe
Generate a package
Generate an install recipe
Generate a JSS recipe
Generate a BigFix recipe
Generate a FileWave recipe
Check if given URL is valid

Get all kandi verified functions for this library.

recipe-robot Key Features

No Key Features are available at this moment for recipe-robot.

recipe-robot Examples and Code Snippets

No Code Snippets are available at this moment for recipe-robot.

Community Discussions

No Community Discussions are available at this moment for recipe-robot.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install recipe-robot

You can download it from GitHub.
You can use recipe-robot 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 .

Find more information at: