Software Alternatives, Accelerators & Startups

Hy VS JSPython

Compare Hy VS JSPython and see what are their differences

Hy logo Hy

Hy is a wonderful dialect of Lisp thatโ€™s embedded in Python.

JSPython logo JSPython

Python-like syntax interpreter implemented with javascript that runs entirely in the web browser and/or in the NodeJS environment.
  • Hy Landing page
    Landing page //
    2022-04-30
  • JSPython Landing page
    Landing page //
    2022-03-07

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.

JSPython features and specs

  • Ease of Use
    JSPython allows developers to write Python code to manipulate DOM elements, making it easier for those familiar with Python to develop web applications.
  • Integration with JavaScript
    It enables seamless integration with JavaScript, allowing developers to leverage existing JavaScript libraries and frameworks alongside Python code.
  • Faster Development
    By using Python, developers can potentially write more concise and readable code, which may speed up the development process.
  • Cross-Platform Compatibility
    JSPython runs in the browser, allowing developers to create cross-platform web applications without concern for server-side compatibility.

Possible disadvantages of JSPython

  • Learning Curve
    Developers familiar with JavaScript but not Python may need time to learn Python syntax and paradigms, which could slow down initial development.
  • Performance Overhead
    Running Python in the browser via transpilation or interpreters can lead to performance overhead compared to native JavaScript execution.
  • Limited Ecosystem
    The ecosystem and community support for Python in web development is not as mature or extensive as for JavaScript, possibly limiting resources and libraries.
  • Dependency on External Tools
    The need for additional tools and libraries to transpile or interpret Python code in the browser adds complexity to the development and build process.

Analysis of JSPython

Overall verdict

  • JSPython is a solid, lightweight choice for developers who want to embed Python-like scripting inside JavaScript or TypeScript applications, offering a familiar syntax and seamless interoperability with the JS ecosystem, though it is not a full Python replacement.

Why this product is good

  • It lets you write Python-like syntax that runs directly in JavaScript environments, both in the browser and Node.js
  • Provides seamless interoperability, allowing scripts to call JavaScript functions and access JS objects easily
  • Lightweight and easy to embed, making it useful for adding user-configurable scripting to apps
  • Open source and free to use, with an active focus on data manipulation and expression evaluation
  • Great for enabling non-developers or end users to write logic without a heavy runtime

Recommended for

  • Developers building applications that need embedded, user-editable scripting logic
  • Teams creating low-code or no-code platforms requiring safe expression evaluation
  • Data-driven web apps that need Python-familiar syntax for transformations
  • Projects where end users with Python knowledge need to customize behavior without full Python runtime
  • Browser-based tools that require dynamic, sandboxed script execution

Hy videos

HY-IMPACT muscle massager review (incredible)

More videos:

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

JSPython videos

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

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Category Popularity

0-100% (relative to Hy and JSPython)
Programming Language
77 77%
23% 23
Generic Programming Language
IDE
78 78%
22% 22
Text Editors
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Hy should be more popular than JSPython. It has been mentiond 9 times since March 2021. 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.

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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JSPython mentions (1)

  • How to open and analyse large JSON files online
    # Welcome to JSPython (https://jspython.dev) Data = openFileAsArray({ take: 1000 #skip: 1000 }).data # work with data array here Return data. - Source: dev.to / about 4 years ago

What are some alternatives?

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

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

Brython - Brython's goal is to replace Javascript with Python, as the scripting language for web browsers.

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

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

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

Transcrypt - Transcrypt is a Python to JavaScript transpiler.