Software Alternatives, Accelerators & Startups

ManKai Common Lisp VS JSPython

Compare ManKai Common Lisp VS JSPython and see what are their differences

ManKai Common Lisp logo ManKai Common Lisp

ManKai Common Lisp (MKCL) aims to be a full implementation of the Common Lisp language in...

JSPython logo JSPython

Python-like syntax interpreter implemented with javascript that runs entirely in the web browser and/or in the NodeJS environment.
  • ManKai Common Lisp Landing page
    Landing page //
    2019-04-20
  • JSPython Landing page
    Landing page //
    2022-03-07

ManKai Common Lisp features and specs

  • Compatibility
    ManKai Common Lisp (MKCL) is designed to be ABI compatible with other Common Lisp implementations, which facilitates easier integration and code sharing across different environments.
  • Performance
    MKCL offers efficient performance that can be suitable for both small scripts and large systems, making it versatile for different project needs.
  • Portability
    MKCL is available on multiple platforms, supporting various operating systems which ensure that code can be easily transferred and run in different environments.
  • Open Source
    As an open-source project, MKCL allows developers to review, modify, and contribute to its source code, supporting community engagement and transparency.

Possible disadvantages of ManKai Common Lisp

  • Community Size
    The user and developer community around MKCL might be smaller compared to more popular Common Lisp implementations, potentially leading to less readily available support and resources.
  • Feature Set
    While MKCL aims for compatibility and performance, it may lack some of the advanced features found in other, more established Common Lisp environments.
  • Documentation
    The documentation for MKCL might not be as comprehensive or up-to-date as other Lisp environments, which could hinder learning and troubleshooting for new users.

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.

Category Popularity

0-100% (relative to ManKai Common Lisp and JSPython)
Programming Language
59 59%
41% 41
IDE
80 80%
20% 20
OOP
54 54%
46% 46
Generic Programming Language

User comments

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Social recommendations and mentions

Based on our record, JSPython seems to be more popular. It has been mentiond 1 time 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.

ManKai Common Lisp mentions (0)

We have not tracked any mentions of ManKai Common Lisp yet. Tracking of ManKai Common Lisp recommendations started around Mar 2021.

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 / over 3 years ago

What are some alternatives?

When comparing ManKai Common Lisp and JSPython, you can also consider the following products

Steel Bank Common Lisp - Steel Bank Common Lisp (SBCL) is a high performance Common Lisp compiler.

TinyScheme - D. Souflis, J. Shapiro - TinyScheme Download site

Clozure Common Lisp - Clozure CL (often called CCL for short) is a free Common Lisp implementation with a long history.

Real-Time JavaScript Tool - Execute JavaScript codes in Real-Time!

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

MIT Scheme - Implementation of Scheme providing an interpreter, compiler, source-code debugger, integrated Emacs-like editor, and a large run-time library