Giter Site home page Giter Site logo

xd0135 / rosetta Goto Github PK

View Code? Open in Web Editor NEW

This project forked from wout/rosetta

0.0 0.0 0.0 2.37 MB

A blazing fast internationalization (i18n) library for Crystal with compile-time key lookup.

Home Page: https://wout.github.io/rosetta/latest

License: MIT License

Shell 0.31% Crystal 96.39% Makefile 0.12% HTML 3.18%

rosetta's Introduction

Rosetta

Rosetta logo

A blazing fast internationalization (i18n) library for Crystal with compile-time key lookup. You'll never have a missing translation in your app, ever again.

GitHub GitHub tag (latest SemVer) GitHub Workflow Status

Why use Rosetta?

You'll never have a missing translation

Rosetta is different from other internationalization libraries because it handles key lookup at compile-time rather than runtime. The significant advantage is that you'll be able to find missing translations - or typos in your locale keys - during development rather than after you've deployed your app. This is also true for translation keys in all additional locales.

You'll never have a missing interpolation

In Rosetta, interpolation keys are arguments to the translation method. So if you're missing an argument, the compiler will complain. The parser will also compare interpolation keys in additional locales to the ones found in the default locale, and complain if some are missing.

Rosetta is more than 12x faster than similar libraries

Benchmarking against other libraries which also use YAML or JSON backends, Rosetta is 12x to 700x faster than any other one.

For simple translations:

crimson-knight/i18n.cr translation 303.57k (  3.29µs) (± 4.62%)  801B/op  702.21× slower
     crystal-i18n/i18n translation  18.07M ( 55.35ns) (± 7.28%)  48.0B/op  12.39× slower
         syeopite/lens translation   5.09M (196.47ns) (± 4.60%)   176B/op  43.98× slower
          wout/rosetta translation 223.86M (  4.47ns) (± 2.20%)   0.0B/op        fastest

For translations with interpolations:

crimson-knight/i18n.cr interpolation 318.12k (  3.14µs) (± 0.85%)    801B/op  108.51× slower
     crystal-i18n/i18n interpolation  65.55k ( 15.26µs) (± 1.01%)  28.2kB/op  664.37× slower
         syeopite/lens interpolation   2.04M (490.17ns) (± 1.35%)    565B/op   21.35× slower
          wout/rosetta interpolation  43.55M ( 22.96ns) (± 4.81%)   80.0B/op         fastest

Rosetta is that much faster because a lot of the hard work happens at compile-time. And because the majority of the data is stored on the stack rather than the heap, out of the scope of garbage collector.

Read more on the official docs page.

Installation

  1. Add the dependency to your shard.yml:
dependencies:
  rosetta:
    github: wout/rosetta
  1. Run shards install

  2. Run bin/rosetta --init

  3. Require the generated config file:

# src/app_name.cr
require "../config/rosetta"
  1. Include the Rosetta::Translatable mixin:
# src/pages/main_layout.cr
include Rosetta::Translatable
  1. Localize your app
Rosetta.locale = :es

class Hello::ShowPage < MainLayout
  def content
    h1 r("welcome_message").t(name: "Brian") # => "¡Hola Brian!"
  end
end

Read more on the official docs page.

Development

Make sure you have Guardian.cr installed. Then run:

$ guardian

This will automatically:

  • run ameba for src and spec files
  • run the relevant spec for any file in src
  • run spec file whenever they are saved
  • install shards whenever you save shard.yml

Documentation

Contributing

To the lib

  1. Fork it (https://github.com/wout/rosetta/fork)
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create a new Pull Request

To the docs

Check out the docs branch and run the following command to launch the docs locally:

docker run --rm -it -p 8000:8000 -v ${PWD}:/docs squidfunk/mkdocs-material

Contributors

  • wout - creator and maintainer

Acknowledgements

This shard pulls inspiration from the following projects:

rosetta's People

Contributors

wout avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.