Software Alternatives, Accelerators & Startups

PicoLisp VS Julia

Compare PicoLisp VS Julia and see what are their differences

PicoLisp logo PicoLisp

Programming Language

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.
  • PicoLisp Landing page
    Landing page //
    2023-04-26
  • Julia Landing page
    Landing page //
    2023-09-15

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

PicoLisp features and specs

No features have been listed yet.

Julia features and specs

  • High Performance
    Julia uses Just-In-Time (JIT) compilation which allows it to run at speeds close to those of statically compiled languages like C and Fortran.
  • Ease of Use
    Julia’s syntax is simple and intuitive, similar to that of Python, making it accessible for newcomers and convenient for rapid development.
  • Strong Support for Mathematical Computing
    Designed with numerical and scientific computing in mind, Julia includes powerful mathematical functions and supports arbitrary precision arithmetic.
  • Multiple Dispatch
    Julia's multiple dispatch feature allows functions to be defined across many combinations of argument types which can lead to more flexible and extensible code.
  • Rich Ecosystem
    Julia has a growing ecosystem of libraries and tools, supported by an active community, catering to a wide range of applications including data science, machine learning, and more.
  • Interoperability
    Julia can easily call C and Fortran libraries directly without the need for wrappers, and it can also interact with Python, R, and MATLAB code.
  • First-Class Support for Parallelism
    Julia natively supports parallel and distributed computing, enabling efficient handling of large-scale computations.

Possible disadvantages of Julia

  • Immature Ecosystem
    Despite rapid growth, Julia's ecosystem is still not as mature or extensive as those of older, more established languages like Python or R.
  • Long Compilation Time
    The JIT compilation can lead to longer initial startup times for scripts, which might be a drawback for users accustomed to instantaneous execution.
  • Breaking Changes
    The language is still evolving, and updates sometimes include breaking changes that can disrupt existing codebases.
  • Limited Learning Resources
    Compared to other popular languages, there are fewer tutorials, books, and community resources for learning Julia.
  • Smaller Community
    While growing, the Julia community is smaller compared to well-established languages, which might limit the availability of peer support and community-driven development.
  • Package Management Issues
    Users sometimes experience difficulties with package management and dependency issues, especially when using older packages or packages with many dependencies.
  • Less Enterprise Adoption
    Julia has not been widely adopted in the enterprise sector, which can affect its perceived stability and support for mission-critical applications.

Analysis of Julia

Overall verdict

  • Julia is considered a good programming language, especially for specific applications.

Why this product is good

  • Ecosystem
    Julia has a growing ecosystem of packages and is used increasingly in research and academia.
  • Easy syntax
    Its syntax is easy to learn, especially for those familiar with other high-level programming languages.
  • Performance
    Julia is designed for high-performance numerical and scientific computing. It combines the ease of use of Python with the speed of C.
  • Interoperability
    It can interoperate with other languages like Python, C, and R, allowing users to leverage existing libraries.
  • Multiple dispatch
    It features multiple dispatch, which enables a more expressive style of programming.

Recommended for

    {"data_science" => "Data scientists who require a fast and flexible language for data manipulation and analysis.", "machine_learning" => "Developers looking to implement machine learning models that benefit from Julia's performance.", "numerical_analysis" => "Engineers and analysts conducting numerical analysis that demands high computational efficiency.", "scientific_computing" => "Researchers and scientists working on mathematical, statistical, and computational problems."}

PicoLisp videos

PicoLisp VIP Auto-Load and ASCII Diagrams

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 PicoLisp and Julia)
Programming Language
12 12%
88% 88
IDE
100 100%
0% 0
Technical Computing
0 0%
100% 100
OOP
14 14%
86% 86

User comments

Share your experience with using PicoLisp and Julia. 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 PicoLisp and Julia

PicoLisp Reviews

We have no reviews of PicoLisp yet.
Be the first one to post

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 PicoLisp. While we know about 125 links to Julia, we've tracked only 10 mentions of PicoLisp. 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.

PicoLisp mentions (10)

  • Everything Picolisp can do, and more
    Gotta admit, the author has a nice sense of eDSL https://picolisp.com/wiki/?taskDB. - Source: Hacker News / 3 months ago
  • The Landscape of Lisp
    It doesn't grow from cons cells, which some people think is crucial for an authentic Lisp. They also tend to exclude Clojure. I think maybe the Janet designers don't want to get bogged down in the language wars, and don't really care whether lispers enjoy their language or not. A language with Lisp in the name and cons cells that a purist might argue isn't an authentic Lisp is Picolisp, e.g. Because it has FEXPR:s... - Source: Hacker News / 3 months ago
  • Ask HN: Am I crazy or is Android development awful?
    Build your Apps in PicoLisp without an Android SDK "PilBox (`PicoLisp Box') is a generic Android App which allows to write Apps in pure PicoLisp, without touching Java, and without the need of an Android SDK. "You do not need to root your device. And - if you prefer - you do not need a separate development machine (PC or laptop): All can be done in a terminal on the device, and even in a Lisp REPL while the App is... - Source: Hacker News / 11 months ago
  • Anyone got a contact at OpenAI. They have a spider problem
    A similar thing happened in 2011 when the picolisp project published a 'ticker', something like a markov chain generating pages on the fly. https://picolisp.com/wiki/?ticker It's a nice type of honeypot. - Source: Hacker News / about 1 year ago
  • PicoLisp Tutorials
    I love(d) PicoLisp. I have run Windows, Linux (many flavors on many machines), and MacOS, but my working OS is Windows, and I could not get the x64 PicoLisp running on Windows back then without using Cygwin or MinGW. I can run it on WSL[1], however, it still requires a POSIX environment. Is there a way to compile a Windows binary without the POSIX required for a working PicoLisp environment? I know it switched to... - Source: Hacker News / almost 2 years ago
View more

Julia mentions (125)

  • Top Programming Languages for AI Development in 2025
    Julia: Exceptional Numerical Processing. - Source: dev.to / about 2 months ago
  • Building a Secret Scanner in Julia: A GitLeaks Alternative
    To use Julia – one of the best programming languages, which is unfairly considered niche. Its applications go far beyond HPC. It’s perfectly suited for solving a wide range of problems. - Source: dev.to / about 2 months ago
  • A data scientist's journey building a B2B data product with Julia and Pluto
    In this post, I’m exploring dev tools for data scientists, specifically Julia and Pluto.jl. I interviewed Mandar, a data scientist and software engineer, about his experience adopting Pluto, a reactive notebook environment similar to Jupyter notebooks. What’s different about Pluto is that it’s designed specifically for Julia, a programming language built for scientific computing and machine learning. - Source: dev.to / 4 months ago
  • What is Open-Source? Beginners Guide How to Get Started.
    Julia Seasons of Contributions (JSoC). - Source: dev.to / 4 months ago
  • I Chose Common Lisp
    Related, Julia: https://julialang.org/. - Source: Hacker News / 5 months ago
View more

What are some alternatives?

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

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

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

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

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

Guile - Guile is the GNU Ubiquitous Intelligent Language for Extensions, the official extension language for the GNU operating system.

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