Software Alternatives & Startups

Python VS Objective-C

Compare Python VS Objective-C and see what are their differences

Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

Rating
0 reviews
Pricing
Open source
Objective-C

The primary programming language you use when writing software for OS X and iOS

Rating
0 reviews

Which is more popular?

Based on our record, Python seems to be more popular. It has been mentioned 301 times since March 2021.

social mentions
301 vs 0
Programming Language popularity
89% vs 11%
alternatives listed
161 vs 68

Base details

Website, pricing, platforms and company facts side by side.

Python
Objective-C
Website python.org developer.apple.com
Pricing
Open source
—
Listed in

About Python and Objective-C

In their own words, as submitted to SaaSHub.

Python
Objective-C

Find popular and trending Python projects on LibHunt

Read more about Python

We recommend LibHunt Objective-C for discovery and comparisons of trending Objective-C projects.

Read more about Objective-C

Features and specs

What each product offers, as listed by its team.

Python 6 features
Objective-C 5 features
  • Easy to Learn
    Python syntax is clear and readable, which makes it an excellent choice for beginners and allows for quick learning and prototyping.
  • Versatile
    Python can be used for web development, data analytics, artificial intelligence, machine learning, automation, and more, making it a highly versatile programming language.
  • Large Standard Library
    Python comes with a comprehensive standard library that includes modules and packages for various tasks, reducing the need to write code from scratch.
  • Strong Community Support
    Python has a large and active community, which means a wealth of third-party packages, tutorials, and documentation is available for assistance.
  • Cross-Platform Compatibility
    Python is compatible with major operating systems like Windows, macOS, and Linux, allowing for easy development and deployment across different platforms.
  • Good for Rapid Development
    The high-level nature of Python allows for quick development cycles and fast iteration, which is ideal for startups and prototyping.

Possible disadvantages

  • Performance Limitations
    Python is generally slower than compiled languages like C or Java because it is an interpreted language, which can be a drawback for performance-critical applications.
  • Global Interpreter Lock (GIL)
    The GIL in CPython, the most used Python interpreter, prevents multiple native threads from executing Python bytecodes at once, limiting multi-threading capabilities.
  • Memory Consumption
    Python can be more memory-intensive compared to some other languages, which might be a concern for applications with tight memory constraints.
  • Mobile Development
    Python is not a primary choice for mobile app development, where languages like Java, Swift, or Kotlin are more commonly used.
  • Runtime Errors
    Being a dynamically typed language, Python code can sometimes lead to runtime errors that would be caught at compile-time in statically typed languages.
  • Dependency Management
    Managing dependencies in Python projects can sometimes be complex and cumbersome, especially when dealing with conflicting versions of libraries.
  • Mature Language
    Objective-C has been around since the 1980s, which means it has a long history of use in Apple's ecosystem, leading to a wealth of documentation, resources, and a stable, well-understood language.
  • Dynamic Runtime
    Objective-C's dynamic runtime allows for a high level of flexibility, such as dynamically loading classes and methods, which can be beneficial in certain programming scenarios requiring runtime adjustments.
  • C Compatibility
    Objective-C is a superset of C, which means it retains all functionalities of C, allowing low-level manipulation and the ability to integrate existing C libraries easily.
  • Rich Library Support
    With strong ties to Apple's ecosystem, Objective-C has extensive support for native libraries like Cocoa and Cocoa Touch, enabling efficient iOS and macOS application development.
  • Proven Track Record
    Many successful applications have been built using Objective-C, illustrating its capabilities in handling complex and large-scale applications.

Possible disadvantages

  • Complex Syntax
    The syntax of Objective-C can be verbose and complex compared to modern languages, leading to a steeper learning curve for new developers.
  • Limited Adoption Outside Apple Ecosystem
    Objective-C is primarily used within Apple's ecosystem, limiting its applicability and adoption in other platforms or general software development.
  • Lack of Modern Features
    Compared to newer programming languages like Swift, Objective-C lacks some modern programming features such as type safety, which can lead to more runtime errors.
  • Memory Management
    Although ARC (Automatic Reference Counting) has simplified memory management, developers still have to be conscientious about memory usage compared to simpler garbage-collected environments.
  • Performance Considerations
    The dynamic nature of Objective-C can introduce performance overhead, as dynamic message sending is slower compared to static method calls in languages like Swift.

Videos

Walkthroughs and reviews on video.

Python 1 video + Add
Objective-C 1 video + Add

Creator of Python Programming Language, Guido van Rossum | Oxford Union

Welcome to Objective-C for Swift Devs!

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Python
Objective-C
89% 89%
11% 11%
84% 84%
OOP
16% 16%
0% 0%
100% 100%

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Python no reviews yet
Objective-C no reviews yet

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Python 301 mentions
Objective-C 0 mentions
  • Zero to AI-Ready PC in One Click: Windows & Ubuntu AI Requirements Installer Full Tutorial
    Extract the zip, right-click Windows_AI_Requirements_Installer.bat and choose Run as administrator. A normal double-click works too: it asks Windows for administrator rights by itself. The .bat brings its own temporary portable Python... - Source: dev.to / 13 days ago
  • Self-contained highly-portable Python distributions
    > When you download Python from http://python.org (on Linux or macOS), what you're actually downloading is an installer that builds Python from source on your machine. > The net effect is that on Linux and macOS, you can't "download a... - Source: Hacker News / 3 months ago
  • How to Build a Dependency Map of a Legacy Codebase Using AI Tools
    137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds.... - Source: dev.to / 6 months ago

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Tracking Objective-C since Mar 2021.

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