singletons VS rayon

Compare singletons vs rayon and see what are their differences.


Fake dependent types in Haskell using singletons (by goldfirere)


Rayon: A data parallelism library for Rust (by rayon-rs)
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singletons rayon
1 33
260 6,641
- 4.1%
5.8 6.8
9 days ago 7 days ago
Haskell Rust
BSD 3-clause "New" or "Revised" License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of singletons. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-22.


Posts with mentions or reviews of rayon. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-19.
  • The Rust Borrow Checker – A Deep Dive
    8 projects | | 19 May 2022
    > If you're going to do that, would you not be better saving all that time and code bloat (it's code you wrote that doesn't contribute to solving your problem) by just using a garbage collector from the outset?

    I suspect a garbage collector would be pretty nice. However, I can't just list the features I want and get a language (unless I make it myself, which would take a lot of time). Currently, my imaginary perfect language would actually have a garbage collector, would be pretty similar to Standard ML, but would be more focused on arrays than lists, and would have value types --- in Standard ML I can't have a value array of records (structs in Rust/C++ parlance) --- they will be behind a pointer. And if I were to stick to the standard or make sure that my code compiles with other compilers than MLTon, then I can't even have a value array of 64-bit words, although I can have a value array of 63-bit words. This one bit may seem insignificant, but for certain algorithms it's a big complication. Powers of 2 simplify a lot of algorithms (and are "faster" to be a bit loose with the language). There are other features I'd like, but already this short list makes for a currently-non-existent language. OCaml and Haskell have similar problems to Standard ML.

    At the same time Rust has great support for arrays, is expression-oriented, has sum types. Value types are the default. It generally ticks a lot of boxes I care about. I can't just go and say "now give me all that but with a GC" and have it appear before me.

    Also, arenas I use are linked to logical portions of my programs. They are not contrivances that I had to think long and hard about. They don't waste my time really. I've spent 0 time thinking about how they should be organized.

    Now the part where a GC would be helpful is a bit of a more liberal use of closures, and eliminating code noise coming from lifetime annotations such as "for". But I can live with the current state of affairs, if I get all the other benefits.

    > If you're going to do that, would you not be better saving all that time and code bloat (it's code you wrote that doesn't contribute to solving your problem) by just using a garbage collector from the outset?

    If anything, Rust is an asset for large teams of devs. Even though you may sometimes argue that a handful of C/C++ devs can keep their whole project in their heads and not make mistakes (although I think that's a stretch), the moment you get a large C/C++ team, weird hard-to-debug bugs coming from memory- and thread-safety issues start to creep in. There are other high-level languages, but Rust is the one with a combination of performance competitive with C++ and large ecosystem of libraries you can use. Examples of Rust projects with a large number of contributors facilitated by the language taking the fear of intractable bugs away:

    - <>

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  • what are the resources for writing multi threaded programs in rust
    4 projects | | 19 May 2022
    For practical purposes, I recommend the Rayon crate ( and links here). The most common usage of rayon is to take a vector and allow for parallel operations over the contents via parallel iterators. This allows you to do things like map, filter, fold, or for_each operations that will use the available parallel resources.
    4 projects | | 19 May 2022
    You should definitely look at the Rayon crate. After I figured that out, my productivity vs multi threaded C was exponentially better (literally did many days of equivalent C work in less than an hour). Rayon is focused on data processing, other multi threaded stuff can benefit from other crates like crossbeam (Channels, scoped threads), and tokio (async networking).
  • Intel's New Chimera: Alder Lake
    4 projects | | 15 May 2022
    > On a single machine I can just replace an `.iter()` into a `.par_iter()` in my Rust programs and boom, I parallelized my workload across every core with only a single line change.

    If you’re using Rayon for anything you expect to benefit from a lot of cores, my experiences have been very negative in the past. Rayon is extremely inefficient once you allow it to use more than a handful of cores.[0]

    If your unit of work is absolutely massive, you might not be as affected by Rayon’s scheduler, but it makes me sad that this issue still hasn’t been resolved. My comment on that thread was almost 4 years ago! And the issue itself is almost a year older than that.

    I no longer consider Rayon to be an advantage for Rust. There are plenty of good ways to wire up a parallel work pool, but they do require more than a one line change.


  • What crates would you consider essential?
    14 projects | | 29 Apr 2022
    Rayon for simple parallelisation.
  • appreciating fearless concurrency
    4 projects | | 24 Apr 2022
    Just wait until you discover rayon :)
  • How to use async Rust for non-IO tasks?
    2 projects | | 20 Apr 2022
    Have you looked at Rayon? It's quite popular for simplifying parallelism.
  • 18 factors powering the Rust revolution, Part 2 of 3
    13 projects | | 10 Apr 2022
    However, this isn't even 50% of what's out there: Need raw parallel power (and maybe don't need an async runtime)? Checkout Rayon. Need simple Actors for concurrent processing? Checkout Actix. Need a larger Actor system for fault tolerance/CQRS messaging? Checkout Riker. Damn, I sound like a youtube advert 🤦 - For real though, this is the tip of the concurrency iceberg. There is so much more - and it's growing.
  • Calculating the SHA-1 hash of thousands of files
    2 projects | | 3 Apr 2022
    Rayon might be an easy way to parallelize processing.
  • What's everyone working on this week (13/2022)?
    10 projects | | 27 Mar 2022
    Also I'm trying to use Rayon everywhere in tantivy so that we can compile to WASM. I want to use tantivy on our website :)

What are some alternatives?

When comparing singletons and rayon you can also consider the following projects:

crossbeam - Tools for concurrent programming in Rust

tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...

RxRust - The Reactive Extensions for the Rust Programming Language

sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, SQLite, and MSSQL.

coroutine-rs - Coroutine Library in Rust

rust-numpy - PyO3-based Rust bindings of the NumPy C-API

libfringe - a Rust library implementing safe, lightweight context switches, without relying on kernel services

tokio-rayon - Mix async code with CPU-heavy thread pools using Tokio + Rayon

sled - the champagne of beta embedded databases

rust-postgres - Native PostgreSQL driver for the Rust programming language

tokenizers - 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

containers - Assorted concrete container types