koto VS rune

Compare koto vs rune and see what are their differences.

koto

A simple, expressive, embeddable programming language, made with Rust (by koto-lang)

rune

An embeddable dynamic programming language for Rust. (by rune-rs)
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koto rune
4 21
395 1,527
0.8% 2.3%
9.5 9.0
6 days ago 8 days ago
Rust Rust
MIT License Apache License 2.0
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.

koto

Posts with mentions or reviews of koto. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-20.

rune

Posts with mentions or reviews of rune. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-07.

What are some alternatives?

When comparing koto and rune you can also consider the following projects:

Rhai - Rhai - An embedded scripting language for Rust.

RustPython - A Python Interpreter written in Rust

mun - Source code for the Mun language and runtime.

miniserve - 🌟 For when you really just want to serve some files over HTTP right now!

Flux.jl - Relax! Flux is the ML library that doesn't make you tensor

tiny-tokio-actor - A simple tiny actor library on top of Tokio

tealr - A wrapper around mlua and rlua to generate documentation and other helpers

dyon - A rusty dynamically typed scripting language

miri - An interpreter for Rust's mid-level intermediate representation

gluon - A static, type inferred and embeddable language written in Rust.

lokke - Lokke: Clojure for Guile

zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.