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J VS Haskell

Compare J VS Haskell and see what are their differences

J logo J

array language with functional core

Haskell logo Haskell

An advanced purely-functional programming language
Not present
  • Haskell Landing page
    Landing page //
    2023-05-01

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

J features and specs

  • Conciseness
    J is known for its extremely concise code, allowing complex operations to be expressed in just a few characters. This can lead to significant reductions in code size and faster prototyping.
  • Array Programming
    J is an array programming language, which makes it exceptionally powerful for mathematical and statistical operations. It allows operations to be performed on entire arrays without the need for explicit loops.
  • Interactive Environment
    The J programming language features an interactive environment that facilitates experimentation and exploration of data and functions, making it suitable for data analysis and educational purposes.
  • Cross-Platform
    J is designed to be cross-platform, with implementations available for various operating systems, which enhances its accessibility and usability across different platforms.
  • Extensive Libraries
    J comes with extensive standard libraries that support a wide range of functionalities, including graphics, UI, and other utilities, enhancing its capabilities.

Possible disadvantages of J

  • Steep Learning Curve
    The syntax of J is quite different from more conventional programming languages, which can make it difficult for new users to learn and adopt.
  • Niche Language
    J is not as widely used as other programming languages, which means that there is a smaller community and fewer resources or libraries compared to more mainstream languages.
  • Readability Challenges
    While J's conciseness is an advantage, it can also lead to code that is difficult to read and understand, especially for those who are not familiar with the language.
  • Limited Industry Adoption
    J has limited adoption in the industry, which may result in fewer job opportunities for developers skilled in the language compared to other mainstream programming languages.
  • Performance Considerations
    While J is efficient for array-based operations, it may not perform as well as lower-level languages in scenarios that require intensive computation and optimization.

Haskell features and specs

  • Pure Functional Programming
    Haskell emphasizes pure functional programming, meaning functions have no side effects. This leads to code that is easier to understand, test, and maintain.
  • Strong Type System
    Haskell's type system is strong and expressive, allowing developers to catch many errors at compile time. This results in more reliable code.
  • Lazy Evaluation
    Haskell uses lazy evaluation by default, which can lead to performance improvements by avoiding unnecessary computations and enabling the creation of infinite data structures.
  • Immutability
    In Haskell, data is immutable by default. This leads to simpler reasoning about code behavior and reduces bugs related to mutable state.
  • High-Level Abstractions
    Haskell provides powerful abstractions like monads, functors, and applicative functors, which can lead to more concise and expressive code.
  • Concurrency
    Haskell has excellent support for concurrency and parallelism through its lightweight threading model and software transactional memory, making it suitable for concurrent applications.
  • Community and Libraries
    Haskell has a dedicated community and a rich set of libraries and tools, which can help accelerate development and provide solutions to common problems.

Possible disadvantages of Haskell

  • Steep Learning Curve
    Haskell has a steep learning curve, particularly for developers who are new to functional programming or coming from imperative and object-oriented backgrounds.
  • Performance Concerns
    While Haskell can be efficient, its performance can sometimes lag behind other languages like C++ or Rust for certain use cases, especially those requiring low-level optimization.
  • Limited Industry Adoption
    Haskell is not as widely adopted in industry compared to languages like Java, Python, or JavaScript, which can limit job opportunities and community size.
  • Compilation Times
    Haskell's compilation times can be long, especially for large projects, which can slow down the development process.
  • Tooling and IDE Support
    While improving, the tooling and IDE support for Haskell is not as mature as for some other popular languages, potentially affecting developer productivity.
  • Complexity of Advanced Features
    Some of Haskell's advanced features, such as monads and type-level programming, can be complex and difficult to master, which can be a barrier for new developers.
  • Library Gaps
    Although Haskell has many libraries, there might be gaps or less mature libraries for some specific use cases compared to more mainstream languages.

Analysis of J

Overall verdict

  • J is a powerful, high-performance array programming language descended from APL, well-suited for those who value extreme conciseness, mathematical elegance, and speed in numerical and data-processing tasks, though its terse syntax presents a steep learning curve.

Why this product is good

  • Extremely concise syntax that allows complex operations to be expressed in very few characters
  • Array-oriented design makes it exceptionally efficient for vectorized and mathematical computations
  • Free and open-source with active community support and documentation
  • Fast execution due to its low-level, optimized interpreter
  • Rich built-in library for statistics, linear algebra, and data manipulation
  • Cross-platform availability (Windows, macOS, Linux)
  • Encourages a unique problem-solving mindset that can improve algorithmic thinking

Recommended for

  • Mathematicians and statisticians needing rapid prototyping of numerical algorithms
  • Data scientists working with large array or matrix computations
  • Enthusiasts of APL-family languages looking for a modern, refined alternative
  • Computer science educators teaching array programming concepts
  • Competitive programmers who enjoy concise code golf-style solutions
  • Researchers requiring high-performance computation without heavy language overhead

Analysis of Haskell

Overall verdict

  • Haskell is good for certain types of projects and developers, especially those interested in functional programming and academic exploration. It may not be the best choice for every use case, particularly where performance-critical applications or system-level programming is required, due to its steep learning curve and relatively smaller community compared to more mainstream languages.

Why this product is good

  • Haskell is a purely functional programming language known for its high level of abstraction, robust type system, and lazy evaluation. These features make Haskell an excellent choice for academic research, complex algorithm design, and scenarios where concise and maintainable code is paramount. It encourages a different way of thinking about programming problems, which can lead to more elegant and robust solutions.

Recommended for

  • Developers interested in functional programming paradigms
  • Projects focused on academic research or algorithm development
  • Software requiring high-level abstractions and strong type safety
  • Enthusiasts wishing to learn a different approach to thinking about software design

J videos

NOT a typical J. Crew review | ft. fabric, sewing and try-ons!

Haskell videos

Functional Programming & Haskell - Computerphile

More videos:

  • Review - Marloe Haskell Review
  • Review - Marloe Watch Company - Haskell - Watch Review

Category Popularity

0-100% (relative to J and Haskell)
JVM Programming Language
100 100%
0% 0
Programming Language
6 6%
94% 94
OOP
11 11%
89% 89
Learning Resources
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Haskell should be more popular than J. It has been mentiond 21 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.

J mentions (5)

  • Thinking in an Array Language
    This is based on K. Another array language is J http://jsoftware.com In J this would be:
       dot =: +/ . *.
    - Source: Hacker News / over 2 years ago
  • How do you Programm with esoteric languages?
    Does J count a "esoteric"? If so, I do directly write J code, interactively. It's often a sort of exploration, a dialogue with the interpreter. J's conciseness makes that quite pleasant. Source: over 2 years ago
  • I Completed All 8 Advents of Code in One Go: Here Are the Lessons I Learned.
    Sure. Advent_of_Code (AoC) is a computer programming competition thatโ€™s been running since 2015. Problems are released daily from 1 December for 24 days. Thatโ€™s the Advent thing. Each registrant gets their own data and has to write a program that produces a matching solution unique to their data usually a single number. You get a star if you get the correct answer. There is a ranking based on how long from release... Source: over 3 years ago
  • Solving Wordle with APL
    I started learning APL in 1974 and J about twenty years later. I think youโ€™ll find J (https://jsoftware.com) will be easy to pickup. You have the APL idioms down pat. I have to relearn them as I donโ€™t use either much these days. Source: over 4 years ago
  • Array programming language(s) for 3d-graphics?
    I like J, from jsoftware.com. They came up with a genius way of representing all primitives with ascii characters combined with periods or colons (a couple of exceptions). If you download and install, go to the demos and labs to see 3D graphic implementations and all sorts of other examples of capabilities. Source: almost 5 years ago

Haskell mentions (21)

  • Is there a programming language that will blow my mind?
    Haskell - a general-purpose functional language with many unique properties (purely functional, lazy, expressive types, STM, etc). You mentioned you dabbled in Haskell, why not try it again? (I've written about 7 things I learned from Haskell, and my book is linked at them bottom if you're interested :) ). Source: about 3 years ago
  • Where to go from here?
    Where you go is entirely up to you. According to haskell.org, Haskell jobs are a-plenty. sigh. Source: over 3 years ago
  • Haskell.org now has "Get Started" page!
    Should they be part of haskell.org or something else? Source: over 3 years ago
  • Haskell.org now has "Get Started" page!
    Haskell.org now has a big purple Get Started button that takes you to a nice short guide (haskell.org/get-started) that quickly provides all the basic info to get going with Haskell. It is aimed for beginners, to reduce choice fatigue and to give them a clear, official path to get going. Source: over 3 years ago
  • dev environment for windows
    I just jumped into the wiki "Write Yourself a Scheme in 48 hours" which looks pretty good. (although some of the text explanation is hard to understand without context).. I used cabal to set up the starter project. Sublime editor seems to work OK and I just use the git Bash shell on windows to compile the program directly on the command line. So maybe this is all good enough for now (?). It seems installing... Source: over 3 years ago
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What are some alternatives?

When comparing J and Haskell, 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.

Rust - A safe, concurrent, practical language

Clojure - Clojure is a dynamic, general-purpose programming language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming.

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

NIM - GB64.COM is the home of The Gamebase Collection of C64 games.

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.