dataJAR-recipes | Elegant powerful Apple services for business

by autopkg Python Version: Current License: Apache-2.0

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

kandi X-RAY | dataJAR-recipes Summary

dataJAR-recipes is a Python library. dataJAR-recipes has no vulnerabilities, it has a Permissive License and it has low support. However dataJAR-recipes has 6 bugs and it build file is not available. You can download it from GitHub.

Elegant and powerful Apple services for business and education.

Support

Quality

Security

License

Reuse

Support

dataJAR-recipes has a low active ecosystem.

It has 92 star(s) with 67 fork(s). There are 16 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 149 have been closed. On average issues are closed in 23 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dataJAR-recipes is current.

Quality

dataJAR-recipes has 6 bugs (0 blocker, 0 critical, 6 major, 0 minor) and 56 code smells.

Security

dataJAR-recipes has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dataJAR-recipes code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dataJAR-recipes 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

dataJAR-recipes releases are not available. You will need to build from source code and install.

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

dataJAR-recipes saves you 1256 person hours of effort in developing the same functionality from scratch.

It has 3522 lines of code, 63 functions and 80 files.

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

Top functions reviewed by kandi - BETA

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

Main function
Parse the application JSON
Process the Acro installer
Create the pkginfo object
Process the HD installer
Process HD installer
Get generic keys
Extract the info plist
Run install
Process Acrice installer
Process the installer
Create the pkginfo entry
Check for pkg files
Run the recipe list
Creates a list of recipes
Looks for adobe folders in package_type
Checks for pkgs
Main entry point
Copy a file or directory

Get all kandi verified functions for this library.

dataJAR-recipes Key Features

No Key Features are available at this moment for dataJAR-recipes.

dataJAR-recipes Examples and Code Snippets

No Code Snippets are available at this moment for dataJAR-recipes.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install dataJAR-recipes

You can download it from GitHub.
You can use dataJAR-recipes 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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