Software Alternatives, Accelerators & Startups

Python VS Hy

Compare Python VS Hy and see what are their differences

Python logo Python

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

Hy logo Hy

Hy is a wonderful dialect of Lisp thatโ€™s embedded in Python.
  • Python Landing page
    Landing page //
    2021-10-17

  • Hy Landing page
    Landing page //
    2022-04-30

Python features and specs

  • 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 of Python

  • 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.

Hy features and specs

  • Python Interoperability
    Hy seamlessly integrates with Python, allowing you to use the entire Python ecosystem while writing your code in a Lisp-like syntax. This interoperability makes it easier for developers familiar with Python to experiment with Lisp's syntax and ideas.
  • Lisp Syntax and Macros
    Hy provides Lisp's powerful macro system and syntax, enabling more expressive and concise code. The ability to create macros can lead to highly customizable and domain-specific solutions.
  • Readability
    For those familiar with Lisp, Hy offers increased readability due to its minimal syntax and symbolic expressions. This can lead to more straightforward reasoning about the code and reduced syntactic noise.
  • Compiles to Python
    Hy code is compiled to Python bytecode, allowing it to run on any environment where Python is available. This ensures good performance and compatibility with existing Python tools and utilities.

Possible disadvantages of Hy

  • Steep Learning Curve
    For developers not familiar with Lisp, Hy's syntax and concepts (like macros) can be difficult to grasp initially. This can slow down development time as developers need to learn new paradigms.
  • Limited Adoption
    Hy is not as widely adopted or supported as some other languages or even other Lisp implementations. This can lead to less community support, fewer third-party libraries written specifically for Hy, and potentially more difficulty finding solutions to problems.
  • Debugging Complexity
    Debugging in Hy can sometimes be more challenging because errors may occur in the compiled Python code rather than the original Hy code, which can complicate traceback and error understanding.
  • Macro Overuse
    While macros are a powerful feature, their misuse can lead to code that is hard to read and maintain. This can become a con if developers do not exercise restraint and best practices in their use.
  • Performance Overhead
    While Hy compiles to Python, the added layer of abstraction and translation may introduce small performance overheads compared to writing natively in Python, especially for performance-critical applications.

Python videos

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

Hy videos

HY-IMPACT muscle massager review (incredible)

More videos:

  • Review - Cleveland Launcher XL Hy-Wood Review
  • Review - HY Extracts (Jack Herer) Review

Category Popularity

0-100% (relative to Python and Hy)
Programming Language
93 93%
7% 7
OOP
95 95%
5% 5
IDE
0 0%
100% 100
Generic Programming Language

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Python and Hy

Python Reviews

Pine Script Alternatives: A Comprehensive Guide to Trading Indicator Languages
Technical analysis in trading has come a long way, with various programming languages emerging to support traders in developing custom indicators. While Pine Script has been a popular choice for many, alternatives like Indie, ThinkScript, NinjaScript, MetaQuotes Language (MQL), and even general-purpose languages like Python and C++ are gaining traction. Letโ€™s explore these...
Source: medium.com
Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge

Hy Reviews

We have no reviews of Hy yet.
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Social recommendations and mentions

Based on our record, Python seems to be a lot more popular than Hy. While we know about 300 links to Python, we've tracked only 9 mentions of Hy. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Python mentions (300)

  • 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 Python binary" from... anywhere. Other than the python-build-standalone project. Are you sure this is right about macOS? I just had a look inside the macOS installer from python.org... - Source: Hacker News / 18 days 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. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 3 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 internal references to a specific function across a large repository. - Source: dev.to / 3 months ago
  • Async Web Scraping in Python: asyncio + aiohttp + httpx (Complete 2026 Guide)
    Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ€” no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 4 months ago
  • Don't Be Afraid of Git: A Beginner's Guide to Saving and Sharing
    **_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โ€œSave this dataโ€ - โ€œGet this dataโ€ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 7 months ago
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Hy mentions (9)

  • Python's โ€œDisappointingโ€ Superpowers
    Hy: https://docs.hylang.org/en/stable/ I tend to stick to vanilla python though, mainly because Hy is too much of an hassle for my use cases. - Source: Hacker News / over 3 years ago
  • Why Lisp?
    Q: is there any game dev happening in Lisp? A: https://kandria.com/ and https://itch.io/jam/lisp-game-jam-2022 Q: how do I write a website with Lisp? A: https://lispcookbook.github.io/cl-cookbook/web.html#easy-routes-hunchentoot and https://www.gnu.org/software/guile/manual/html_node/Web-Examples.html Q: do I have to use emacs for developing Lisp? A: No, https://github.com/vlime/vlime and... - Source: Hacker News / almost 4 years ago
  • How trying new programming languages helped me grow as a software engineer
    I really like Hy because it's fully inter-operable with Python. But its documentation is insufficient for anything moderately complex, and its tooling support is pretty basic. If Hy were well documented and supported I'd use it for all my throwaway scripts and prototyping -- today I use Python for that. Source: almost 4 years ago
  • Every programmer ever.
    You're looking for https://docs.hylang.org/en/stable. Source: almost 4 years ago
  • Val on Programming: What makes a good REPL?
    I've been using the Hy REPL[0] whenever I've wanted to drop into a python REPL. The lack of whitespace formatting with Hy is great, but it still has access to all of python's libraries. [0] - https://docs.hylang.org/en/stable/. - Source: Hacker News / almost 4 years ago
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What are some alternatives?

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

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

CLISP - CLISP is a portable ANSI Common Lisp implementation and development environment by Bruno Haible.

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

Racket Lang - Racket (formerly PLT Scheme) is a modern programming language in the Lisp/Scheme family, suitable...

C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation

Chicken - A portable and efficient cross-platform Scheme implementation that compiles to C.