Software Alternatives & Reviews

Julia VS Steel Bank Common Lisp

Compare Julia VS Steel Bank Common Lisp and see what are their differences

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.

Steel Bank Common Lisp logo Steel Bank Common Lisp

Steel Bank Common Lisp (SBCL) is a high performance Common Lisp compiler.
  • Julia Landing page
    Landing page //
    2023-09-15

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

  • Steel Bank Common Lisp Landing page
    Landing page //
    2019-04-24

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

Steel Bank Common Lisp videos

No Steel Bank Common Lisp videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Julia and Steel Bank Common Lisp)
Programming Language
70 70%
30% 30
Technical Computing
100 100%
0% 0
IDE
0 0%
100% 100
OOP
62 62%
38% 38

User comments

Share your experience with using Julia and Steel Bank Common Lisp. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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

Steel Bank Common Lisp Reviews

We have no reviews of Steel Bank Common Lisp yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Julia seems to be a lot more popular than Steel Bank Common Lisp. While we know about 114 links to Julia, we've tracked only 5 mentions of Steel Bank Common Lisp. 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.

Julia mentions (114)

  • 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 / 8 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: 9 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
  • What Apple hardware do I need for CUDA-based deep learning tasks?
    If you are really committed to running on Apple hardware then take a look at Tensorflow for macOS. Another option is the Julia programming language which has very basic Metal support at a CUDA-like level. FluxML would be the ML framework in Julia. I’m not sure either option will be painless or let you do everything you could do with a Nvidia GPU. Source: 11 months ago
View more

Steel Bank Common Lisp mentions (5)

  • Not only Clojure – Chez Scheme: Lisp with native code speed
    Tangential: if we're talking Lisp and native code speed, Steel Bank Common Lisp (by default) compiles everything to machine code. [0] https://sbcl.org. - Source: Hacker News / 7 months ago
  • A few newbie questions about lisp
    Q5: Get http://sbcl.org/. Install https://quicklisp.org/. SBCL is the implementation that's the lowest friction, and Quicklisp is a package manager that's almost* painless. Source: 12 months ago
  • [C++20][safety] static_assert is all you need (no leaks, no UB)
    That is what we do in Lisp. Try sbcl if you haven't tried it yet. Source: about 1 year ago
  • Trying to wrap my head around `xbps-src`
    I want to add the sbcl-doc subpackage (the manual for SBCL in GNU Info format), but first I need to understand how to write package definitions. As far as I understand there are the "templates" which are shell scripts that describe how a package is to be built and installed, and xbps-src is a shell script which can process these templates to actually carry out the work. Source: over 2 years ago
  • Ask HN: Areas in Programming to Avoid
    > Lisp looks like Python, that's far from C, and usually it's a "interpreted" language, far from machine the currently most popular Common Lisp implementation is based around an optimizing native code compiler. That compiler has its roots in the early 80s. See https://sbcl.org . It's far away from being 'interpreted'. - Source: Hacker News / almost 3 years ago

What are some alternatives?

When comparing Julia and Steel Bank Common Lisp, you can also consider the following products

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

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