tokay VS react-snippets

Compare tokay vs react-snippets and see what are their differences.


Tokay is a programming language designed for ad-hoc parsing, inspired by awk. (by tokay-lang)


A sample of useful snippets in React (by ashok-khanna)
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tokay react-snippets
3 8
190 307
1.1% -
9.1 2.0
7 days ago 6 months ago
Rust JavaScript
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.


Posts with mentions or reviews of tokay. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-13.
  • Hacker News top posts: May 13, 2022
    2 projects | | 13 May 2022
    Tokay Programming Language\ (21 comments)
  • Tokay Programming Language
    2 projects | | 12 May 2022
    I am very interested in this project as a "better awk" is something I have often fantasized about.

    I read all of the documentation that's available on, but unfortunately it never really... describes itself? Many sections, including the section on "parselets" are just unwritten. "Consumable" values are mentioned but never described (there is a "stub" section that doesn't really explain what the term means).

    It begins with a pretty detailed description of value "severity" but doesn't really motivate why the concept exists. (I think that it's (basically) a way to very concisely discard certain matches? When there are "more important" matches around them?)

    There are no examples of how I could use Tokay to "parse" something -- there are lots of examples dotted through the docs, but none of them demonstrate working with structured file formats, and they feel a little bit contrived.

    I'm not complaining here: this project is not making any false claims about its status, the docs are clearly and explicitly unfinished, it is very clear that Tokay is still under active development.

    But I want to learn more about it! I came away from that with a sense that, this has the potential to be really useful to me, but without any concrete evidence to support that. I guess the next step is to download the source and start reading through the tests.

    All this to say: please highlight some examples showcasing situations where Tokay shines! (Parsing CSVs containing quoted strings was making the rounds recently, right? What does that look like in Tokay?)

    Oh, actually, the GitHub readme has an example that is more involved than any in the documentation:

        _ : [ \t]+                # redefine whitespace to just tab and space


Posts with mentions or reviews of react-snippets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-13.

What are some alternatives?

When comparing tokay and react-snippets you can also consider the following projects:

todomvc - Helping you select an MV* framework - Todo apps for React.js, Ember.js, Angular, and many more

butter - A tasty language for building efficient software. WIP

mech - 🦾 Main repository for the Mech programming language. Start here!

MCH2022ParserWorkshop - MCH2022: A practical approach to parsing

erg - A statically typed language that can deeply improve the Python ecosystem

wouter - 🥢 A minimalist-friendly ~1.5KB routing for React and Preact. Nothing else but HOOKS.

koto - A simple, expressive, embeddable programming language, made with Rust

MagLit - 🔥 MagLit - Privacy Respecting Encrypted Link Shortener with Password Protection and Torrent Magnet Links support

react-simplest-router - simplest router for React

universal-router - Universal routing for both backend and frontend

awesome-go-orms - ORMs for Go, most starred on GitHub.