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  1. Stackups
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  5. Perl vs Rust

Perl vs Rust

OverviewDecisionsComparisonAlternatives

Overview

Perl
Perl
Stacks4.3K
Followers935
Votes575
GitHub Stars2.2K
Forks602
Rust
Rust
Stacks6.1K
Followers5.0K
Votes1.2K
GitHub Stars107.6K
Forks13.9K

Perl vs Rust: What are the differences?

Introduction:

Perl and Rust are two programming languages that have distinct characteristics and are used for different purposes. Understanding the key differences between Perl and Rust can help developers determine which language is best suited for their project or use case.

1. Memory Management:

One of the major differences between Perl and Rust is their approach to memory management. Perl uses automatic memory management, where the interpreter handles memory allocation and deallocation. On the other hand, Rust uses manual memory management with a system known as ownership and borrowing. This allows Rust to guarantee memory safety without the need for a garbage collector, making it suitable for systems programming.

2. Performance:

Another significant difference between Perl and Rust is their performance. Perl is an interpreted language, which means that it is slower compared to a compiled language like Rust. Rust, being a compiled language, can offer faster execution times and better overall performance, making it an attractive choice for performance-critical applications.

3. Concurrency and Parallelism:

Perl does not have built-in support for concurrency and parallelism. Although there are ways to achieve these through modules and extensions, it is not as built-in and idiomatic as in Rust. Rust, on the other hand, has built-in support for concurrency and parallelism through its ownership and borrowing model, making it more efficient and easier to write concurrent programs.

4. Error Handling:

Perl and Rust have different approaches to error handling. Perl has a built-in error handling mechanism that uses special variables like $! to capture and handle errors. Rust, on the other hand, has a more robust and structured error handling system called Result and Option types. This allows for more explicit and type-safe error handling, reducing the chances of runtime errors.

5. Type System:

Perl is a dynamically typed language, meaning that variable types are determined at runtime. This allows for more flexibility but can also lead to potential errors and runtime issues. On the other hand, Rust is a statically typed language with a strong type system. This means that variable types need to be declared and checked at compile time, providing more safety and preventing many common coding mistakes.

6. Community and Ecosystem:

Perl and Rust have different communities and ecosystems. Perl has been around since the late 1980s and has a strong and established community. It has a wide range of modules and libraries available, making it suitable for a variety of tasks. Rust, on the other hand, is a relatively newer language with a growing community. It has a vibrant ecosystem and growing number of libraries and frameworks, particularly for systems programming.

In summary, Perl and Rust differ in memory management, performance, concurrency/parallelism, error handling, type system, and community/ecosystem. These differences make each language suited for different use cases, with Perl being more suitable for scripting and rapid development and Rust being more suited for systems programming and performance-critical applications.

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Advice on Perl, Rust

Timm
Timm

VP Of Engineering at Flexperto GmbH

Nov 10, 2020

Decided

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.

682k views682k
Comments
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

Detailed Comparison

Perl
Perl
Rust
Rust

Perl is a general-purpose programming language originally developed for text manipulation and now used for a wide range of tasks including system administration, web development, network programming, GUI development, and more.

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.

Statistics
GitHub Stars
2.2K
GitHub Stars
107.6K
GitHub Forks
602
GitHub Forks
13.9K
Stacks
4.3K
Stacks
6.1K
Followers
935
Followers
5.0K
Votes
575
Votes
1.2K
Pros & Cons
Pros
  • 72
    Lots of libraries
  • 66
    Open source
  • 61
    Text processing
  • 54
    Powerful
  • 49
    Unix-style
Cons
  • 4
    Messy $/@/% syntax
  • 3
    No exception handling
  • 2
    "1;"
  • 2
    Bad OO support
  • 2
    No OS threads
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

What are some alternatives to Perl, Rust?

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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