Software Alternatives & Startups

Smalltalk VS Python

Compare Smalltalk VS Python and see what are their differences

Smalltalk

Smalltalk is an object-oriented programming (OOP) language. It is objects all the way down.

Rating
0 reviews
Pricing
Open source
Python

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

Rating
0 reviews
Pricing
Open source

Which is more popular?

Based on our record, Python seems to be a lot more popular than Smalltalk. While we know about 300 links to Python, we've tracked only 28 mentions of Smalltalk.

social mentions
28 vs 300
Programming Language popularity
16% vs 84%
alternatives listed
51 vs 165

Base details

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

Smalltalk
Python
Website squeak.org python.org
Pricing
Open source
Open source
Listed in

About Smalltalk and Python

In their own words, as submitted to SaaSHub.

Smalltalk
Python

No description of Smalltalk yet.

Find popular and trending Python projects on LibHunt

Read more about Python

Features and specs

What each product offers, as listed by its team.

Smalltalk 5 features
Python 6 features
  • Pure Object-Oriented Language
    Smalltalk is consistently object-oriented. Everything is an object, including primitive operations, which simplifies the mental model for developers.
  • Interactive Development Environment
    Smalltalk offers a rich, dynamic development environment with tools for live code updates and immediate feedback, enhancing productivity and experimentation.
  • Simple Syntax
    The language has a small and easily understandable syntax, which makes it more accessible to beginners and allows developers to focus more on problem-solving.
  • Dynamic Typing
    Smalltalk's dynamic typing allows for flexible coding and polymorphism, making it easy to write generic and reusable code components.
  • Mature and Influential
    As one of the oldest object-oriented languages, Smalltalk has a rich history, influencing many modern languages like Java, Ruby, and Python.

Possible disadvantages

  • Performance
    Smalltalk can suffer from slower performance due to its high level of abstraction and dynamic typing, which may not be suitable for compute-intensive applications.
  • Niche Community
    The Smalltalk community is relatively small compared to more mainstream languages, which can limit resources, libraries, and support available for developers.
  • Learning Curve
    While the syntax is simple, Smalltalk's unique development environment and paradigms can introduce a learning curve for developers coming from other languages.
  • Limited Integration
    Interfacing Smalltalk with non-Smalltalk systems can be challenging, limiting its use in mixed technology environments without proper bridging mechanisms.
  • Dynamic Typing Drawbacks
    While flexible, dynamic typing can also lead to runtime errors that are not caught at compile time, potentially making debugging more difficult.
  • 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.

Videos

Walkthroughs and reviews on video.

Smalltalk 0 videos + Add
Python 1 video + Add

No Smalltalk videos yet. You could help us improve this page by suggesting one.

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

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
Smalltalk
Python
16% 16%
84% 84%
19% 19%
OOP
81% 81%
100% 100%
0% 0%

User comments

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Reviews and articles

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

Smalltalk no reviews yet
Python no reviews yet

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Social recommendations and mentions

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

Smalltalk 28 mentions
Python 300 mentions

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  • 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 / 2 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 / 5 months ago
  • How to Prepare a Legacy Codebase for AI-Assisted Refactoring
    For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all... - Source: dev.to / 5 months ago

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Alternatives to Smalltalk and Python

When comparing Smalltalk and Python, you can also consider the following products.