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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.
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.
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.
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.
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.
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.
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.
#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
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.
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.
Pros of Elixir
- Concurrency174
- Functional162
- Erlang vm133
- Great documentation113
- Great tooling105
- Immutable data structures87
- Open source81
- Pattern-matching77
- Easy to get started62
- Actor library59
- Functional with a neat syntax32
- Ruby inspired29
- Erlang evolved25
- Homoiconic24
- Beauty of Ruby, Speed of Erlang/C22
- Fault Tolerant17
- Simple14
- High Performance13
- Doc as first class citizen11
- Good lang11
- Pipe Operator11
- Stinkin' fast, no memory leaks, easy on the eyes9
- Fun to write9
- OTP8
- Resilient to failure8
- GenServer takes the guesswork out of background work6
- Pattern matching4
- Not Swift4
- Idempotence4
- Fast, Concurrent with clean error messages4
- Easy to use3
- Dynamic Typing2
- Error isolation2
Pros of Julia
- Fast Performance and Easy Experimentation25
- Designed for parallelism and distributed computation22
- Free and Open Source19
- Dynamic Type System17
- Calling C functions directly17
- Multiple Dispatch16
- Lisp-like Macros16
- Powerful Shell-like Capabilities10
- Jupyter notebook integration10
- REPL8
- String handling4
- Emojis as variable names4
- Interoperability3
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Cons of Elixir
- Fewer jobs for Elixir experts11
- Smaller userbase than other mainstream languages7
- Elixir's dot notation less readable ("object": 1st arg)5
- Dynamic typing4
- Difficult to understand2
- Not a lot of learning books available1
Cons of Julia
- Immature library management system5
- Slow program start4
- JIT compiler is very slow3
- Poor backwards compatibility3
- Bad tooling2
- No static compilation2