Code Monkey home page Code Monkey logo

jstyleparser's Introduction

Build Status

jStyleParser

jStyleParser parses CSS2 and CSS3 into structures which can be assigned to DOM elements. While handling errors, it is a user agent conforming to specification.

All the source code of jStyleParser itself is licensed under the GNU Lesser General Public License (LGPL), version 3. A copy of the LGPL can be found in the LICENSE file.

Building

  • jStyleParser uses sbt 0.13 to build the project.

    • Use sbt compile to compile the project
    • Use sbt test to run the tests
    • Use sbt eclipse to create an Eclipse project that can be imported using Import Existing Projects into Workspace
  • ANTLR 3.1 is used to generate Lexer and Parser from grammar files. Generated output is part of project to make compilation easier. The sbt-antlr plugin may be integrated in the future. Pull request appreciated.

Required Libraries

The Xerces and the NekoHTML libraries may be replaced by any other DOM implementation.

jstyleparser's People

Stargazers

大関 金城 秀喜 カシオ avatar

Watchers

James Cloos 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.