anka-click-scripts VS autopkg

Compare anka-click-scripts vs autopkg and see what are their differences.

anka-click-scripts

MacOS UI scripting documentation and examples for Veertu's Anka Click. (by veertuinc)
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anka-click-scripts autopkg
1 7
9 1,256
- 1.8%
5.0 4.2
7 months ago 5 days ago
Click Python
- GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

anka-click-scripts

Posts with mentions or reviews of anka-click-scripts. We have used some of these posts to build our list of alternatives and similar projects.

autopkg

Posts with mentions or reviews of autopkg. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-01.

What are some alternatives?

When comparing anka-click-scripts and autopkg you can also consider the following projects:

MyBlazorApp - This project is an example of implementing a Mock-Driven Approach in Blazor Applications. See more: https://blog.devinstance.net/implementing-a-mock-driven-approach-in-blazor-applications

Installomator - Installation script to deploy standard software on Macs

EarlGrey - :tea: iOS UI Automation Test Framework

HomeBrew - 🍺 The missing package manager for macOS (or Linux)

Platypus - Create native Mac applications from command line scripts.

munki - Managed software installation for macOS —

autopkgr - AutoPkgr is a free Mac app that makes it easy to install and configure AutoPkg.

ProfileCreator - macOS app to create standard or customized configuration profiles.

python_sankey_diagram_Apple_2020_Cashflow - This python code walks you through how to build a Sankey Diagram utilizing Apple's 2020 Cashflow data. The data I used came from the diagram found here: https://www.reddit.com/r/dataisbeautiful/comments/albi5w/apples_latest_quarterly_income_statement/

ProfileManifestsMirror - Jamf JSON schema manifests automatically generated from ProfileCreator manifests (https://github.com/ProfileCreator/ProfileManifests)

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