chumsky VS Wren

Compare chumsky vs Wren and see what are their differences.

Wren

The Wren Programming Language. Wren is a small, fast, class-based concurrent scripting language. (by wren-lang)
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chumsky Wren
54 44
3,327 6,748
- 0.2%
8.8 0.0
6 days ago 9 months ago
Rust Wren
MIT License MIT License
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.

chumsky

Posts with mentions or reviews of chumsky. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-24.

Wren

Posts with mentions or reviews of Wren. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-24.

What are some alternatives?

When comparing chumsky and Wren you can also consider the following projects:

nom - Rust parser combinator framework

Lua - Lua is a powerful, efficient, lightweight, embeddable scripting language. It supports procedural programming, object-oriented programming, functional programming, data-driven programming, and data description.

pest - The Elegant Parser

LuaJIT - Mirror of the LuaJIT git repository

pom - PEG parser combinators using operator overloading without macros.

ChaiScript - Embedded Scripting Language Designed for C++

lalrpop - LR(1) parser generator for Rust

V8 - The official mirror of the V8 Git repository

instaparse

Duktape - Duktape - embeddable Javascript engine with a focus on portability and compact footprint

combine - A parser combinator library for Rust

ChakraCore - ChakraCore is an open source Javascript engine with a C API. [Moved to: https://github.com/chakra-core/ChakraCore]