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CLISP VS Julia

Compare CLISP VS Julia and see what are their differences

CLISP logo CLISP

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

Julia logo Julia

Julia is a sophisticated programming language designed especially for numerical computing with specializations in analysis and computational science. It is also efficient for web use, general programming, and can be used as a specification language.
  • CLISP Landing page
    Landing page //
    2019-03-19
  • Julia Landing page
    Landing page //
    2023-09-15

We recommend LibHunt Julia for discovery and comparisons of trending Julia projects.

CLISP videos

GNU CLISP - Brief introduction to install and setup of an artificially intelligent environment

Julia videos

Julie & Julia Movie Review: Beyond The Trailer

More videos:

  • Review - 'Julie & Julia' review by Michael Phillips
  • Review - Julie & Julia movie review by Kenneth Turan

Category Popularity

0-100% (relative to CLISP and Julia)
Programming Language
22 22%
78% 78
IDE
100 100%
0% 0
Technical Computing
0 0%
100% 100
OOP
28 28%
72% 72

User comments

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Reviews

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

CLISP Reviews

We have no reviews of CLISP yet.
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Julia Reviews

7 Best MATLAB alternatives for Linux
Julia is capable of direct calling C and Fortran libraries. You can create scripts in interactive mode (REPL) and by using its embedding API you can use Julia with other programming languages easily.
15 data science tools to consider using in 2021
Julia 1.0 became available in 2018, nine years after work began on the language; the latest version is 1.6, released in March 2021. The documentation for Julia notes that, because its compiler differs from the interpreters in data science languages like Python and R, new users "may find that Julia's performance is unintuitive at first." But, it claims, "once you understand...
10 Best MATLAB Alternatives [For Beginners and Professionals]
Talking about its capability, Julia can load multidimensional datasets and can perform various actions on them with total ease. Julia has over 13 million downloads as of today. It’s the proof of its flexibility
6 MATLAB Alternatives You Could Use
Strictly speaking, Julia is not a full “alternative” to MATLAB, in the sense that it’s essentially a high-level, dynamic programming language, intended for numerical computing. However, you can easily use it via the free Juno IDE. As for the language itself, it comes with a sophisticated compiler, with support for distributed parallel computing, and a large mathematical...
Source: beebom.com

Social recommendations and mentions

Based on our record, Julia seems to be a lot more popular than CLISP. While we know about 115 links to Julia, we've tracked only 1 mention of CLISP. 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.

CLISP mentions (1)

  • What are the advantages for an imperative language to not be expression based?
    CLisp is an unfortunate contraction, also naming an implementation, but yes, the Common Lisp spec is that big. Source: over 1 year ago

Julia mentions (115)

  • Modern Python REPL in Emacs using VTerm
    From my jolly Julia days I’m used to julia-vterm. This emacs package runs a Julia REPL using a full terminal emulator (emacs-libvterm). So in the pursuit of a nice hack, I M-x replace-string’d the word juliawith python and gave it a shot. Remarkably, the whole thing just worked without much tweaking and you can enjoy the result by checking out the GitHub repo. - Source: dev.to / 4 days ago
  • Ask HN: Does Your GitHub Repo Need a Landing Page
    I'm really not fond of that agpt landing page. So many red flags; the AI-generated background, mailing letter box with accompanying email-beggar text, the Discord button (!!!) being given as much space as the Github repo click-through... it's a mess. The whole website feels more boilerplate than content. I mean, look at these quotes! > With the help of the incredible open-source community, we’re making... - Source: Hacker News / 9 months ago
  • Why are there no ROS2 bindings for Julia(lang)?
    I’m wondering if there are any attempts for a ROS2 client library for Julia(lang)? I very much like the concepts of Julia and would like to use it in my robotics applications. I believe, that writing code in Julia is very efficient and productive. As a robotics engineer and researcher, I would definitively appreciate the possibility to use ROS2 with Julia. Source: 9 months ago
  • AskScience AMA Series: We've identified subsets of Long COVID by blood proteins, ask us anything!
    Kevin is a senior research scientist (read: fancy postdoc) at Wellesley College. He has a PhD in immunology, but transitioned to microbial genomics after graduate school, and now spends most of his time writing code (ask me about julia). His first postdoc was looking at the microbes that grow on the outer surface of cheese (it's a cool model system for studying microbial communities - here's the paper) and now... Source: 10 months ago
  • Any Good Alternatives for Matlab?
    Julia is a great alternative in terms of raw speed/performance (not a compatible language). Source: 11 months ago
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What are some alternatives?

When comparing CLISP and Julia, you can also consider the following products

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

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

Hy - Hy is a wonderful dialect of Lisp that’s embedded in Python.

GNU Octave - GNU Octave is a programming language for scientific computing.

CMU Common Lisp - CMUCL is a high-performance, free Common Lisp implementation.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming