mk48 VS rust_serialization_benchmark

Compare mk48 vs rust_serialization_benchmark and see what are their differences.

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mk48 rust_serialization_benchmark
4 22
304 512
4.9% -
4.9 7.7
5 months ago about 19 hours ago
Rust Rust
GNU Affero General Public License v3.0 -
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.

mk48

Posts with mentions or reviews of mk48. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-16.

rust_serialization_benchmark

Posts with mentions or reviews of rust_serialization_benchmark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-13.
  • Rkyv: Rkyv zero-copy deserialization framework for rust
    2 projects | news.ycombinator.com | 13 Jan 2024
    https://github.com/djkoloski/rust_serialization_benchmark

    Apache/arrow-rs: https://github.com/apache/arrow-rs

    From https://arrow.apache.org/faq/ :

    > How does Arrow relate to Flatbuffers?

    > Flatbuffers is a low-level building block for binary data serialization. It is not adapted to the representation of large, structured, homogenous data, and does not sit at the right abstraction layer for data analysis tasks.

    > Arrow is a data layer aimed directly at the needs of data analysis, providing a comprehensive collection of data types required to analytics, built-in support for “null” values (representing missing data), and an expanding toolbox of I/O and computing facilities.

    > The Arrow file format does use Flatbuffers under the hood to serialize schemas and other metadata needed to implement the Arrow binary IPC protocol, but the Arrow data format uses its own representation for optimal access and computation

  • Comfy Engine 0.3 - No Lifetimes, User Shaders, Text Rendering, 2.5D, LDTK
    1 project | /r/rust | 9 Dec 2023
    Nice that comfy gets even easier. Also, if serde's compile time is an issue, then there's nanoserde which is usually much much faster according to benchmarks
  • Müsli - An experimental binary serialization framework with more choice
    7 projects | /r/rust | 18 May 2023
    A note on performance and size: Some benchmarks and statistics are included in the README. But only because people will be curious. I've based my methodology on rust_serialization_benchmark, but decided to not extend it (for now) since it seems to exclude any Rust types which are not widely supported by all formats being tested (like HashMap's and 128-bit numbers). The test suite is already quite nice if you want to take it for a spin.
  • bitcode 0.4 release - binary serialization format
    6 projects | /r/rust | 14 May 2023
    While we haven't benchmarked either of those ourselves. You can checkout rust_serialization_benchmark which has protobuf under the name prost.
  • Announcing bitcode format for serde
    4 projects | /r/rust | 16 Apr 2023
    Update: Benchmark PR submitted: https://github.com/djkoloski/rust_serialization_benchmark/pull/37
  • Best format for high-performance Serde?
    4 projects | /r/rust | 27 Mar 2023
    Here is a speed and size benchmark of different rust binary serialization formats: https://github.com/djkoloski/rust_serialization_benchmark Warning: I think the creator of this benchmark is also the creator of rkyv, one of the best positioned formats in the benchmark.
  • Grammatical, automatic furigana with SQLite and Rust
    1 project | /r/rust | 2 Feb 2023
    So I assume you're deserializing them before processing the book? If so then if you want an easy speed-up you could also take a look at these benchmarks and pick a faster serialization crate. (: (Although you might or might not get a big speedup; depends on what exactly you're deserializing and how much you are deserializing.)
  • GitHub - epage/parse-benchmarks-rs
    7 projects | /r/rust | 18 Jul 2022
    You can add the rust serialization benchmark to that list
  • The run-up to v1.0 for Postcard
    1 project | /r/rust | 10 May 2022
    Hey! Similar to bincode, it provides a very similar, compact binary format. The rkyv benchmark is the most comprehensive I'm aware of, but compared to bincode, postcard is generally a similar speed for serialization or deserialization (maybe a touch slower), but generally produces a slightly smaller "on the wire" size.
  • I made a blazing fast and small new data serialization format called "DLHN" in Rust.
    4 projects | /r/rust | 9 May 2022
    You should add your crate to these benchmarks. (Which are, AFAIK, the most comprehensive set of benchmarks currently available for Rust serialization libraries.)

What are some alternatives?

When comparing mk48 and rust_serialization_benchmark you can also consider the following projects:

rust_rpg_toolkit - Engine / framework for creating highly customizable and user modable action RPG's

json-benchmark - nativejson-benchmark in Rust

flux - An open-source tribute to the macOS Drift screensaver

rust-serialization-benchmarks

conwayste - Multiplayer Conway's Game of Life (desktop app + server) implemented in Rust

bebop - 🎷No ceremony, just code. Blazing fast, typesafe binary serialization.

vach - A simple archiving format, designed for storing assets in compact and secure containers

unsafe-code-guidelines - Forum for discussion about what unsafe code can and can't do

capstone - Sci-fi run 'n' gun action RPG created in Rust, using Macroquad [Moved to: https://github.com/olefasting/rust_rpg_toolkit]

dlhn - DLHN implementation for Rust

fluid-simulation-rust - A rewrite of my fluid simulation project entirely in Rust

bincode - A binary encoder / decoder implementation in Rust.