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  5. Elm vs Julia

Elm vs Julia

OverviewDecisionsComparisonAlternatives

Overview

Julia
Julia
Stacks666
Followers677
Votes171
GitHub Stars47.9K
Forks5.7K
Elm
Elm
Stacks758
Followers744
Votes319

Elm vs Julia: What are the differences?

Elm: A type inferred, functional reactive language that compiles to HTML, CSS, and JavaScript. Writing HTML apps is super easy with elm-lang/html. Not only does it render extremely fast, it also quietly guides you towards well-architected code; Julia: A high-level, high-performance dynamic programming language for technical computing. Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

Elm and Julia can be categorized as "Languages" tools.

"Code stays clean" is the primary reason why developers consider Elm over the competitors, whereas "Lisp-like Macros" was stated as the key factor in picking Julia.

Elm and Julia are both open source tools. It seems that Julia with 22.7K GitHub stars and 3.43K forks on GitHub has more adoption than Elm with 5.3K GitHub stars and 424 GitHub forks.

According to the StackShare community, Elm has a broader approval, being mentioned in 27 company stacks & 35 developers stacks; compared to Julia, which is listed in 5 company stacks and 5 developer stacks.

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Advice on Julia, Elm

Alexander
Alexander

Senior researcher at MIPT

Oct 27, 2020

Decided

After writing a project in Julia we decided to stick with Kotlin. Julia is a nice language and has superb REPL support, but poor tooling and the lack of reproducibility of the program runs makes it too expensive to work with. Kotlin on the other hand now has nice Jupyter support, which mostly covers REPL requirements.

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Comments

Detailed Comparison

Julia
Julia
Elm
Elm

Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

Writing HTML apps is super easy with elm-lang/html. Not only does it render extremely fast, it also quietly guides you towards well-architected code.

-
No Runtime Exceptions; Fearless refactoring; Understand anyone's code; Fast and friendly feedback; Enforced Semantic Versioning; Small Assets
Statistics
GitHub Stars
47.9K
GitHub Stars
-
GitHub Forks
5.7K
GitHub Forks
-
Stacks
666
Stacks
758
Followers
677
Followers
744
Votes
171
Votes
319
Pros & Cons
Pros
  • 25
    Fast Performance and Easy Experimentation
  • 22
    Designed for parallelism and distributed computation
  • 19
    Free and Open Source
  • 17
    Dynamic Type System
  • 17
    Calling C functions directly
Cons
  • 5
    Immature library management system
  • 4
    Slow program start
  • 3
    JIT compiler is very slow
  • 3
    Poor backwards compatibility
  • 2
    Bad tooling
Pros
  • 45
    Code stays clean
  • 44
    Great type system
  • 40
    No Runtime Exceptions
  • 33
    Fun
  • 28
    Easy to understand
Cons
  • 3
    No typeclasses -> repitition (i.e. map has 130versions)
  • 2
    JS interoperability a bit more involved
  • 2
    JS interop can not be async
  • 1
    Backwards compability breaks between releases
  • 1
    No communication with users
Integrations
GitHub
GitHub
Azure Web App for Containers
Azure Web App for Containers
GitLab
GitLab
Slack
Slack
C++
C++
Rust
Rust
C lang
C lang
Stack Overflow
Stack Overflow
vscode.dev
vscode.dev
Python
Python
No integrations available

What are some alternatives to Julia, Elm?

Meteor

Meteor

A Meteor application is a mix of JavaScript that runs inside a client web browser, JavaScript that runs on the Meteor server inside a Node.js container, and all the supporting HTML fragments, CSS rules, and static assets.

Bower

Bower

Bower is a package manager for the web. It offers a generic, unopinionated solution to the problem of front-end package management, while exposing the package dependency model via an API that can be consumed by a more opinionated build stack. There are no system wide dependencies, no dependencies are shared between different apps, and the dependency tree is flat.

Racket

Racket

It is a general-purpose, multi-paradigm programming language based on the Scheme dialect of Lisp. It is designed to be a platform for programming language design and implementation. It is also used for scripting, computer science education, and research.

PureScript

PureScript

A small strongly typed programming language with expressive types that compiles to JavaScript, written in and inspired by Haskell.

Composer

Composer

It is a tool for dependency management in PHP. It allows you to declare the libraries your project depends on and it will manage (install/update) them for you.

pnpm

pnpm

It uses hard links and symlinks to save one version of a module only ever once on a disk. When using npm or Yarn for example, if you have 100 projects using the same version of lodash, you will have 100 copies of lodash on disk. With pnpm, lodash will be saved in a single place on the disk and a hard link will put it into the node_modules where it should be installed.

Bun

Bun

Develop, test, run, and bundle JavaScript & TypeScript projects—all with Bun. Bun is an all-in-one JavaScript runtime & toolkit designed for speed, complete with a bundler, test runner, and Node.js-compatible package manager.

Homebrew

Homebrew

Homebrew installs the stuff you need that Apple didn’t. Homebrew installs packages to their own directory and then symlinks their files into /usr/local.

fpm

fpm

It helps you build packages quickly and easily (Packages like RPM and DEB formats).

SDKMAN

SDKMAN

It provides a convenient way to install, switch, list and remove candidates. Using it, you can now manage parallel versions of multiple SDKs easily on any Unix-like operating system.

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