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Elixir vs Julia: What are the differences?

Introduction

In this article, we will compare and highlight the key differences between Elixir and Julia programming languages.

  1. Syntax and Purpose: Elixir is a dynamic, functional programming language built on top of the Erlang VM, primarily designed for building scalable and maintainable applications. On the other hand, Julia is a high-level, high-performance programming language specifically designed for numerical and scientific computing tasks. Elixir follows a Ruby-inspired syntax, while Julia follows a syntax that is more similar to traditional programming languages.

  2. Concurrency Models: Elixir provides a powerful and scalable concurrency model called the Actor Model, which allows for easy distribution of work across multiple processes and nodes. It also provides lightweight processes, called "actors," which communicate with each other by message passing. Julia, on the other hand, follows a multi-threaded approach to concurrency, allowing for parallel execution of tasks using multiple threads. Julia provides constructs like tasks and coroutines to manage concurrency.

  3. Type System: Elixir has a dynamic and strong, yet flexible, type system that allows for polymorphism and pattern matching. It supports dynamic typing, which means that variables can hold values of any type and the type of a variable can change at runtime. Julia, on the other hand, has a type system which is both dynamic and static. It provides a type inference mechanism that allows the compiler to infer the types of variables based on the context. This enables Julia to achieve high performance while still providing the flexibility of dynamic typing.

  4. Performance: Elixir is known for its robustness and fault-tolerant systems, but it may not be as performant as Julia when it comes to numerical computations. Julia is built with a focus on performance and aims to provide a performance level comparable to low-level languages like C and Fortran. Julia achieves this through its efficient just-in-time (JIT) compilation and specialization techniques.

  5. Ecosystem and Libraries: Elixir has a thriving ecosystem with a wide range of libraries and frameworks for web development, concurrency, and distributed systems. It is well-suited for building scalable and fault-tolerant applications. Julia, on the other hand, has a growing ecosystem primarily focused on numerical and scientific computing. It provides an extensive collection of libraries and packages for tasks such as linear algebra, optimization, data analysis, and visualization.

  6. Community and Adoption: Elixir has gained popularity in recent years, especially in the web development community, thanks to its productivity and scalability. It has a vibrant and active community that contributes to its development and provides support to users. Julia, on the other hand, is still relatively new compared to Elixir, but it has been steadily gaining traction in the scientific computing and data analysis communities. Its community is actively working on expanding the language's capabilities and optimizing its performance.

In summary, Elixir is a dynamic, functional programming language known for its scalability and fault-tolerant systems, while Julia is a high-performance programming language designed specifically for numerical and scientific computing tasks. Elixir provides a powerful concurrency model and has a thriving web development ecosystem, while Julia focuses on performance and offers a wide range of libraries for scientific computing. Both languages have growing communities and are gaining adoption in their respective domains.

Decisions about Elixir and Julia

#rust #elixir So am creating a messenger with voice call capabilities app which the user signs up using phone number and so at first i wanted to use Actix so i learned Rust so i thought to myself because well its first i felt its a bit immature to use actix web even though some companies are using Rust but we cant really say the full potential of Rust in a full scale app for example in Discord both Elixir and Rust are used meaning there is equal need for them but for Elixir so many companies use it from Whatsapp, Wechat, etc and this means something for Rust is not ready to go full scale we cant assume all this possibilities when it come Rust. So i decided to go the Erlang way after alot of Thinking so Do you think i made the right decision?Am 19 year programmer so i assume am not experienced as you so your answer or comment would really valuable to me

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Timm Stelzer
VP Of Engineering at Flexperto GmbH · | 18 upvotes · 655.4K views

We have a lot of experience in JavaScript, writing our services in NodeJS allows developers to transition to the back end without any friction, without having to learn a new language. There is also the option to write services in TypeScript, which adds an expressive type layer. The semi-shared ecosystem between front and back end is nice as well, though specifically NodeJS libraries sometimes suffer in quality, compared to other major languages.

As for why we didn't pick the other languages, most of it comes down to "personal preference" and historically grown code bases, but let's do some post-hoc deduction:

Go is a practical choice, reasonably easy to learn, but until we find performance issues with our NodeJS stack, there is simply no reason to switch. The benefits of using NodeJS so far outweigh those of picking Go. This might change in the future.

PHP is a language we're still using in big parts of our system, and are still sometimes writing new code in. Modern PHP has fixed some of its issues, and probably has the fastest development cycle time, but it suffers around modelling complex asynchronous tasks, and (on a personal note) lack of support for writing in a functional style.

We don't use Python, Elixir or Ruby, mostly because of personal preference and for historic reasons.

Rust, though I personally love and use it in my projects, would require us to specifically hire for that, as the learning curve is quite steep. Its web ecosystem is OK by now (see https://www.arewewebyet.org/), but in my opinion, it is still no where near that of the other web languages. In other words, we are not willing to pay the price for playing this innovation card.

Haskell, as with Rust, I personally adore, but is simply too esoteric for us. There are problem domains where it shines, ours is not one of them.

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Alexander Nozik
Senior researcher at MIPT · | 3 upvotes · 181.7K views
Migrated
from
JuliaJulia
to
KotlinKotlin

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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Pros of Elixir
Pros of Julia
  • 174
    Concurrency
  • 162
    Functional
  • 133
    Erlang vm
  • 113
    Great documentation
  • 105
    Great tooling
  • 87
    Immutable data structures
  • 81
    Open source
  • 77
    Pattern-matching
  • 62
    Easy to get started
  • 59
    Actor library
  • 32
    Functional with a neat syntax
  • 29
    Ruby inspired
  • 25
    Erlang evolved
  • 24
    Homoiconic
  • 22
    Beauty of Ruby, Speed of Erlang/C
  • 17
    Fault Tolerant
  • 14
    Simple
  • 13
    High Performance
  • 11
    Doc as first class citizen
  • 11
    Good lang
  • 11
    Pipe Operator
  • 9
    Stinkin' fast, no memory leaks, easy on the eyes
  • 9
    Fun to write
  • 8
    OTP
  • 8
    Resilient to failure
  • 6
    GenServer takes the guesswork out of background work
  • 4
    Pattern matching
  • 4
    Not Swift
  • 4
    Idempotence
  • 4
    Fast, Concurrent with clean error messages
  • 3
    Easy to use
  • 2
    Dynamic Typing
  • 2
    Error isolation
  • 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
  • 16
    Multiple Dispatch
  • 16
    Lisp-like Macros
  • 10
    Powerful Shell-like Capabilities
  • 10
    Jupyter notebook integration
  • 8
    REPL
  • 4
    String handling
  • 4
    Emojis as variable names
  • 3
    Interoperability

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Cons of Elixir
Cons of Julia
  • 11
    Fewer jobs for Elixir experts
  • 7
    Smaller userbase than other mainstream languages
  • 5
    Elixir's dot notation less readable ("object": 1st arg)
  • 4
    Dynamic typing
  • 2
    Difficult to understand
  • 1
    Not a lot of learning books available
  • 5
    Immature library management system
  • 4
    Slow program start
  • 3
    JIT compiler is very slow
  • 3
    Poor backwards compatibility
  • 2
    Bad tooling
  • 2
    No static compilation

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What is Elixir?

Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.

What is Julia?

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.

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What companies use Elixir?
What companies use Julia?
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Oct 24 2019 at 7:43PM

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What are some alternatives to Elixir and Julia?
Golang
Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.
Erlang
Some of Erlang's uses are in telecoms, banking, e-commerce, computer telephony and instant messaging. Erlang's runtime system has built-in support for concurrency, distribution and fault tolerance. OTP is set of Erlang libraries and design principles providing middle-ware to develop these systems.
Clojure
Clojure is designed to be a general-purpose language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming. Clojure is a compiled language - it compiles directly to JVM bytecode, yet remains completely dynamic. Clojure is a dialect of Lisp, and shares with Lisp the code-as-data philosophy and a powerful macro system.
Ruby
Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.
Rust
Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.
See all alternatives