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Elm vs Haskell: What are the differences?
Introduction:
Elm and Haskell are both functional programming languages that have gained popularity in recent years. While they share many similarities, there are also key differences between the two.
1. Type Inference One major difference between Elm and Haskell is their approach to type inference. In Elm, the type inference is automatic and the language is designed to be beginner-friendly. On the other hand, Haskell has a more powerful and advanced type system that allows for more fine-grained control and explicit type annotations.
2. Mutable State Another significant difference between Elm and Haskell is their treatment of mutable state. Elm emphasizes immutability and enforces strict functional purity, where all values are immutable by default. In contrast, Haskell allows mutable state through the use of monads and the IO (input/output) system.
3. Handling Effects Elm and Haskell also differ in how they handle side effects and IO operations. Elm uses a declarative approach called "The Elm Architecture" to manage the effects, making it easier to reason about the code and prevent runtime errors. Haskell, on the other hand, uses a monadic approach with the IO type to handle effects, providing more flexibility at the cost of additional complexity.
4. Ecosystem and Community The ecosystems and communities surrounding Elm and Haskell also differ. Elm has a smaller and more focused ecosystem, with a primary focus on web development and a limited number of packages available. Haskell, on the other hand, has a larger and more mature ecosystem with a wide range of libraries and frameworks available for different use cases.
5. Performance In terms of performance, Haskell generally outperforms Elm due to its more optimized compiler and more advanced runtime system. Elm, on the other hand, prioritizes simplicity and ease of use over performance optimizations, which makes it more suitable for smaller web applications or prototypes.
6. Learning Curve Finally, the learning curves for Elm and Haskell differ. Elm is designed to be beginner-friendly and has a gentle learning curve, making it easier for newcomers to get started with functional programming. Haskell, on the other hand, has a steeper learning curve due to its advanced type system and more complex concepts, making it more suitable for experienced programmers.
In summary, Elm and Haskell differ in their approach to type inference, handling of mutable state, management of effects, ecosystem and community, performance, and learning curve. Elm prioritizes simplicity and beginner-friendliness, while Haskell offers more advanced features and flexibility at the cost of increased complexity.
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.
Pros of Elm
- Code stays clean45
- Great type system44
- No Runtime Exceptions40
- Fun33
- Easy to understand28
- Type safety23
- Correctness22
- JS fatigue17
- Ecosystem agrees on one Application Architecture12
- Declarative12
- Friendly compiler messages10
- Fast rendering8
- If it compiles, it runs7
- Welcoming community7
- Stable ecosystem5
- 'Batteries included'4
- Package.elm-lang.org2
Pros of Haskell
- Purely-functional programming90
- Statically typed66
- Type-safe59
- Open source39
- Great community38
- Built-in concurrency31
- Built-in parallelism30
- Composable30
- Referentially transparent24
- Generics20
- Type inference15
- Intellectual satisfaction15
- If it compiles, it's correct12
- Flexible8
- Monads8
- Great type system5
- Proposition testing with QuickCheck4
- One of the most powerful languages *(see blub paradox)*4
- Purely-functional Programming4
- Highly expressive, type-safe, fast development time3
- Pattern matching and completeness checking3
- Great maintainability of the code3
- Fun3
- Reliable3
- Best in class thinking tool2
- Kind system2
- Better type-safe than sorry2
- Type classes2
- Predictable1
- Orthogonality1
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Cons of Elm
- No typeclasses -> repitition (i.e. map has 130versions)3
- JS interop can not be async2
- JS interoperability a bit more involved2
- More code is required1
- No JSX/Template1
- Main developer enforces "the correct" style hard1
- No communication with users1
- Backwards compability breaks between releases1
Cons of Haskell
- Too much distraction in language extensions9
- Error messages can be very confusing8
- Libraries have poor documentation5
- No good ABI3
- No best practices3
- Poor packaging for apps written in it for Linux distros2
- Sometimes performance is unpredictable2
- Slow compilation1
- Monads are hard to understand1