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  5. Common Lisp vs Haskell vs Rust

Common Lisp vs Haskell vs Rust

OverviewDecisionsComparisonAlternatives

Overview

Haskell
Haskell
Stacks1.4K
Followers1.2K
Votes527
Rust
Rust
Stacks6.1K
Followers5.0K
Votes1.2K
GitHub Stars107.6K
Forks13.9K
Common Lisp
Common Lisp
Stacks269
Followers255
Votes145

Common Lisp vs Haskell vs Rust: What are the differences?

Introduction

The following Markdown code provides a comparison between Common Lisp, Haskell, and Rust. It highlights the key differences between them in a concise and structured manner.

  1. Memory Management: Common Lisp uses a garbage collector to automatically manage memory allocation and deallocation. Haskell employs a lazy evaluation strategy and a garbage collector as well. On the other hand, Rust uses a unique approach called ownership and borrowing, where the compiler enforces strict rules to ensure memory safety without the need for garbage collection.

  2. Type Systems: Common Lisp utilizes a dynamic type system, allowing flexible type conversions and runtime type checks. Haskell, in contrast, employs a static type system with strong type inference, leveraging type safety at compile-time. Rust also relies on a static type system, but it provides a powerful ownership system to prevent common memory-related errors.

  3. Concurrency: Common Lisp supports concurrency through libraries like Bordeaux-threads and Clon. Haskell, however, has built-in support for concurrency and parallelism with its green threading model and Concurrent Haskell libraries. Rust offers lightweight thread creation and synchronization mechanisms, making it easy to write concurrent programs with safe memory sharing.

  4. Immutability: Common Lisp does not enforce immutability by default, allowing mutable data manipulation. Haskell, on the other hand, promotes immutable values and encourages functional purity. Rust embraces both mutable and immutable data, but it enforces strict rules to prevent data races and provide safe concurrent access.

  5. Syntax: Common Lisp has a rich and flexible syntax, providing extensive macros for language extension. Haskell has a more structured and concise syntax with a clear separation of pure and impure code. Rust has a syntax that blends systems programming with functional features, focusing on safety, performance, and expressiveness.

  6. Error Handling: Common Lisp uses an exception-based system for error handling, allowing for flexible error propagation and handling with conditions and restarts. Haskell, influenced by mathematical foundations, employs purely functional error handling with monads and monadic fail methods. Rust adopts a combination of return values, error enums, and the Result type to handle errors in a safe and explicit manner.

In summary, Common Lisp emphasizes flexibility and extensibility, Haskell focuses on type correctness and functional programming paradigms, while Rust prioritizes safety, performance, and concurrent programming with its ownership model.

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Advice on Haskell, Rust, Common Lisp

Johan
Johan

Jan 28, 2021

Decided

Context: Writing an open source CLI tool.

Go and Rust over Python: Simple distribution.

With Go and Rust, just build statically compiled binaries and hand them out.

With Python, have people install with "pip install --user" and not finding the binaries :(.

Go and Rust over Python: Startup and runtime performance

Go and Rust over Python: No need to worry about which Python interpreter version is installed on the users' machines.

Go over Rust: Simplicity; Rust's memory management comes at a development / maintenance cost.

Go over Rust: Easier cross compiles from macOS to Linux.

397k views397k
Comments
Omar
Omar

Feb 23, 2021

Needs adviceonRubyRubyJavaScriptJavaScriptRustRust

I was thinking about adding a new technology to my current stack (Ruby and JavaScript). But, I want a compiled language, mainly for speed and scalability reasons compared to interpreted languages. I have tried each one (Rust, Java, and Kotlin). I loved them, and I don't know which one can offer me more opportunities for the future (I'm in my first year of software engineering at university).

Which language should I choose?

443k views443k
Comments
Brayden
Brayden

Frontend Developer

Mar 22, 2021

Needs adviceonReactReactPythonPythonRustRust

Hey, 👋

My name is Brayden. I’m currently a Frontend React Developer, striving to move into Fullstack so I can expand my knowledge.

For my main backend language, I am deciding between @{Python}|tool:993|, @{Rust}|tool:1070|, and @{Go}|tool:1005|. I’ve tried each of them out for about an hour and currently, I like Python and Rust the most. However, I’m not sure if I’m missing out on something!

If anyone has advice on these technologies, I’d love to hear it!

Thanks.

525k views525k
Comments

Detailed Comparison

Haskell
Haskell
Rust
Rust
Common Lisp
Common Lisp

It is a general purpose language that can be used in any domain and use case, it is ideally suited for proprietary business logic and data analysis, fast prototyping and enhancing existing software environments with correct code, performance and scalability.

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.

Lisp was originally created as a practical mathematical notation for computer programs, influenced by the notation of Alonzo Church's lambda calculus. It quickly became the favored programming language for artificial intelligence (AI) research. As one of the earliest programming languages, Lisp pioneered many ideas in computer science, including tree data structures, automatic storage management, dynamic typing, conditionals, higher-order functions, recursion, and the self-hosting compiler. [source: wikipedia]

Statically typed; Purely functional; Type inference; Concurrent
--
Statistics
GitHub Stars
-
GitHub Stars
107.6K
GitHub Stars
-
GitHub Forks
-
GitHub Forks
13.9K
GitHub Forks
-
Stacks
1.4K
Stacks
6.1K
Stacks
269
Followers
1.2K
Followers
5.0K
Followers
255
Votes
527
Votes
1.2K
Votes
145
Pros & Cons
Pros
  • 90
    Purely-functional programming
  • 66
    Statically typed
  • 59
    Type-safe
  • 39
    Open source
  • 38
    Great community
Cons
  • 9
    Too much distraction in language extensions
  • 8
    Error messages can be very confusing
  • 5
    Libraries have poor documentation
  • 3
    No best practices
  • 3
    No good ABI
Pros
  • 146
    Guaranteed memory safety
  • 133
    Fast
  • 89
    Open source
  • 75
    Minimal runtime
  • 73
    Pattern matching
Cons
  • 28
    Hard to learn
  • 24
    Ownership learning curve
  • 12
    Unfriendly, verbose syntax
  • 4
    High size of builded executable
  • 4
    Variable shadowing
Pros
  • 24
    Flexibility
  • 22
    High-performance
  • 17
    Comfortable: garbage collection, closures, macros, REPL
  • 13
    Stable
  • 12
    Lisp
Cons
  • 4
    Too many Parentheses
  • 3
    Standard did not evolve since 1994
  • 2
    Small library ecosystem
  • 2
    No hygienic macros
  • 1
    Ultra-conservative community

What are some alternatives to Haskell, Rust, Common Lisp?

JavaScript

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

Python

Python

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

PHP

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Ruby

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.

Java

Java

Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!

Golang

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.

HTML5

HTML5

HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.

C#

C#

C# (pronounced "See Sharp") is a simple, modern, object-oriented, and type-safe programming language. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.

Scala

Scala

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.

Elixir

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.

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