Software Alternatives, Accelerators & Startups

MLton VS Rust

Compare MLton VS Rust and see what are their differences

MLton logo MLton

MLton is an open-source, whole-program, optimizing Standard ML compiler

Rust logo Rust

A safe, concurrent, practical language
  • MLton Landing page
    Landing page //
    2021-12-25
  • Rust Landing page
    Landing page //
    2023-05-09

We recommend LibHunt Rust for discovery and comparisons of trending Rust projects.

MLton features and specs

  • Performance
    MLton is known for producing highly optimized, efficient executables due to its whole-program compilation approach. This can result in faster performance compared to other Standard ML compilers.
  • Standard ML Compliance
    MLton has strong adherence to the Standard ML language specification, ensuring that programs written for MLton are highly portable and conform to the expected language standards.
  • Rich Optimization
    The compiler includes numerous optimization techniques, enabling better runtime performance and memory usage for compiled applications.
  • Large Language Support
    MLton supports the full breadth of the Standard ML language, including advanced features like functors and modules.

Possible disadvantages of MLton

  • Compilation Time
    Due to its whole-program optimization techniques, MLton can take longer to compile programs compared to other compilers that use separate compilation.
  • Executable Size
    Although MLton optimizes for performance, this can sometimes result in larger executable sizes than compilers that don't perform as many optimizations.
  • Limited Interactivity
    MLton is optimized for batch processing and does not provide interactive development features like a REPL (Read-Eval-Print Loop), which can be a downside for some developers used to interactive programming environments.
  • Platform Availability
    While MLton supports several platforms, its availability may not be as widespread as other more commonly used programming environments, which could limit use in certain contexts.

Rust features and specs

  • Memory Safety
    Rust’s ownership system guarantees memory safety without a garbage collector, preventing common bugs such as null pointer dereferencing, buffer overflows, and data races.
  • Performance
    Rust aims to provide memory safety while maintaining high performance. It is often as fast as C and C++ due to zero-cost abstractions.
  • Concurrency
    Rust's ownership and type system make it easier to write safe concurrent code, helping developers avoid concurrency issues.
  • Tooling
    Rust has excellent tooling, including the Cargo package manager and build system, and Rustfmt for code formatting.
  • Community and Ecosystem
    Rust has a growing community and ecosystem, with active contributions and a wide range of libraries and frameworks available.
  • Strong Typing and Error Handling
    Rust’s type system and pattern matching compel developers to handle errors and edge cases, leading to more robust and predictable code.

Possible disadvantages of Rust

  • Learning Curve
    Rust’s advanced features such as its ownership system and lifetimes can be difficult for beginners to grasp, making it harder to learn compared to some other languages.
  • Compilation Time
    Rust can have longer compilation times, especially for large codebases, which can slow down the development process.
  • Ecosystem Maturity
    Although growing, Rust's ecosystem is not yet as mature as those of more established languages like JavaScript, Python, or even C++, leading to fewer available libraries and frameworks for certain tasks.
  • Complexity of Code
    The strictness of Rust's borrow checker can lead to more complex and verbose code as developers explicitly manage ownership and lifetimes.
  • Tool and Library Development
    Despite the rapid growth, some tools and libraries are still under development or lack the polish of their counterparts in more mature languages.

Analysis of Rust

Overall verdict

  • Yes, Rust is considered very good by many developers, especially those who need to write safe and efficient code. Its growing community and ecosystem are further testament to its strengths.

Why this product is good

  • Rust is highly regarded for its memory safety without a garbage collector, providing developers with performance and safety guarantees. It has powerful concurrency support, expressive type system, and excellent tooling, making it a favorite for systems programming, web assembly, and other performance-critical applications.

Recommended for

  • System programmers who need to manage memory and resources efficiently.
  • Developers working on web assembly projects.
  • Teams that require safe concurrency mechanisms.
  • C and C++ developers looking for modern language alternatives.
  • Open-source contributors who want to be part of an active and welcoming community.

MLton videos

No MLton videos yet. You could help us improve this page by suggesting one.

Add video

Rust videos

Rust Crash Course | Rustlang

More videos:

  • Review - Why You Should & Shouldn't Learn the Rust Programming Language
  • Review - All About Rust

Category Popularity

0-100% (relative to MLton and Rust)
OOP
17 17%
83% 83
Programming Language
13 13%
87% 87
Generic Programming Language
IDE
100 100%
0% 0

User comments

Share your experience with using MLton and Rust. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare MLton and Rust

MLton Reviews

We have no reviews of MLton yet.
Be the first one to post

Rust Reviews

Top 5 Most Liked and Hated Programming Languages of 2022
A survey by Stack Overflow reveals that about 83.5% of 90000 developers loved Rust and tagged it to be the most adorable programming language. Rust is that general-purpose programming language that mainly caters to excellent performance and safety. This multi-worldview programming language has syntax similar to that of C++.
Top 10 Rust Alternatives
Several programming languages like Rust are among the popular ones. However, people are in search of some good alternatives to Rust. Therefore, today we will be talking more about the top 10 alternatives to Rust.
The 10 Best Programming Languages to Learn Today
Rust is a fairly advanced language, so you'll want to master another language or two before learning Rust. But you'll find that learning Rust pays off generously. The average salary for a Rust developer in the U.S. is $105,000 per year.
Source: ict.gov.ge

Social recommendations and mentions

Based on our record, Rust should be more popular than MLton. It has been mentiond 48 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

MLton mentions (5)

  • Simple JSON parser in c++, rust, ocaml, standard ml
    Once I got the parser ready in OCaml, I thought I port it to Standard ML, since it belong to the same ML language family. I was also curious on how well mlton could optimise it. The language lacks custom let bindings, so I resorted to use Result.bind manually. This makes code much less readable and more verbose. The standard library also lacks result type, so I had to come up with my own simple implementation.... - Source: dev.to / over 2 years ago
  • Ante: A low-level functional language
    If you’re fine with tracing GC (which depends on the situation, of course), Standard ML is a perfectly boring language (that IIUC predated and inspired Caml) and MLton[1] is a very nice optimizing compiler for it. The language is awkward at times (in particular, the separate sublanguage of modules can be downright unwieldy), and the library has some of the usual blind spots such as nonexistent Unicode support... - Source: Hacker News / almost 3 years ago
  • Write your own programming language in an hour with Chumsky
    Unfortunately, I haven't found a ton of "easily-digestible" and, at the same time, comprehensive guides on compiling functional languages. Generally you'll find a mix of blog posts/class notes/papers covering a single step. Some resources I like: - Andrew Kennedy's 2007 paper Compiling with Continuations, Continued [1]. This one is the most clear IMO - Andrew Appel's Compiling with Continuations book... - Source: Hacker News / about 3 years ago
  • Why are imperative programs considered faster than their functional counterparts?
    More broadly, they can be fast even without such extensions if they aggressively pursue optimization opportunities afforded by static typing, like MLton for example, but that also impacts compilation performance negatively. Source: over 3 years ago
  • Coalton: How to Have Our (Typed) Cake and (Safely) Eat It Too, in Common Lisp
    According to the OP, it's from http://mlton.org/ (see https://coalton-lang.github.io/20211010-introducing-coalton/#acknowledgements ). - Source: Hacker News / over 3 years ago

Rust mentions (48)

  • Useful Clippy lints
    Hello! Rust has very useful tool, named Cargo. It helps you compile code, run program, run tests and benches, format code using cargo fmt and lint it using clippy. In this post we'll talk abou Clippy. - Source: dev.to / 3 months ago
  • Minimalist blog with Zola, AWS CDK, and Tailwind CSS - Part 1
    What are we going to do today? We're going to build a minimalist blog using Zola (built with Rust, btw), AWS CDK, Tailwind CSS, and a tiny bit of Typescript. - Source: dev.to / 3 months ago
  • This Tool can remove 98% Bloatware apps
    Effortlessly remove up to 98% of bloatware apps from your Android device without needing root access. Developed in Rust for efficiency and reliability. - Source: dev.to / 6 months ago
  • What Language Should I Choose?
    One language that really gave me that feeling was Gleam, it managed to wrap everything I liked about languages such as JS, Rust and even Java into one brilliant type-safe package. Not for a long time before I met Gleam had I wanted to try creating so many different things just to get to the bottom of how this language ticked, as it were. - Source: dev.to / 8 months ago
  • Learning Rust: Enumerating Excellence
    Let's dive back into Rust! This time we're going to be going through the lesson called "Enums and Pattern Matching". We're going to be looking at inferring meaning with our data, how we can use match to execute different code depending on input and finally we'll have a look at if let. - Source: dev.to / about 1 year ago
View more

What are some alternatives?

When comparing MLton and Rust, you can also consider the following products

Poly/ML - The Poly/ML implementation of Standard ML – full multiprocessor support in the thread library and garbage collector, interactive debugger, fast compiler.

Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

OCaml - (* Binary tree with leaves carrying an integer.

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

Guile - Guile is the GNU Ubiquitous Intelligent Language for Extensions, the official extension language for the GNU operating system.

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions