


How to Programmatically Retrieve Running Application Bundles in macOS?
Programmatically Retrieve Running Application Bundles in macOS
Introduction:
Obtaining a list of running application bundles in macOS is essential for various scenarios such as time tracking, process monitoring, and parental controls. However, relying solely on sysctl() to retrieve running processes may not provide sufficient information about their associated application bundles.
Solution:
Leveraging Cocoa APIs in Swift offers an effective solution:
<code class="swift">import Foundation import AppKit // Get all running applications let workspace = NSWorkspace.shared let applications = workspace.runningApplications for app in applications { print(app) }</code>
This code retrieves the NSRunningApplication objects for each running application, which contain the desired bundle identifier.
Additional Considerations:
- Using C/Objective-C: Similar functionality should be possible using C/Objective-C APIs, though the exact approach may vary.
- Availability: Support for NSRunningApplication is available in macOS 10.8 and later.
- Privacy: Access to application bundle identifiers may require specific user permissions.
Implementation Benefits:
- Easy-to-use Objective-C API
- Provides detailed information about running applications
- Facilitates time tracking, process monitoring, and other related tasks
The above is the detailed content of How to Programmatically Retrieve Running Application Bundles in macOS?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Golang is better than C in concurrency, while C is better than Golang in raw speed. 1) Golang achieves efficient concurrency through goroutine and channel, which is suitable for handling a large number of concurrent tasks. 2)C Through compiler optimization and standard library, it provides high performance close to hardware, suitable for applications that require extreme optimization.

Goisidealforbeginnersandsuitableforcloudandnetworkservicesduetoitssimplicity,efficiency,andconcurrencyfeatures.1)InstallGofromtheofficialwebsiteandverifywith'goversion'.2)Createandrunyourfirstprogramwith'gorunhello.go'.3)Exploreconcurrencyusinggorout

Golang is suitable for rapid development and concurrent scenarios, and C is suitable for scenarios where extreme performance and low-level control are required. 1) Golang improves performance through garbage collection and concurrency mechanisms, and is suitable for high-concurrency Web service development. 2) C achieves the ultimate performance through manual memory management and compiler optimization, and is suitable for embedded system development.

Goimpactsdevelopmentpositivelythroughspeed,efficiency,andsimplicity.1)Speed:Gocompilesquicklyandrunsefficiently,idealforlargeprojects.2)Efficiency:Itscomprehensivestandardlibraryreducesexternaldependencies,enhancingdevelopmentefficiency.3)Simplicity:

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.

Golang and C each have their own advantages in performance competitions: 1) Golang is suitable for high concurrency and rapid development, and 2) C provides higher performance and fine-grained control. The selection should be based on project requirements and team technology stack.
