Giter VIP home page Giter VIP logo

mydoggy's Introduction

This is a modified version of My Java Docking Framework, trrying to revive it.
It is based on  https://github.com/smartgridadsc/MyDoggy1.5.0-beta

This is a modified version of the below library. The modifications are added to fix some User Interface Bugs identified.

MyDoggy - My Java Docking Framework 1.5.0 (http://mydoggy.sourceforge.net/)

CONTENTS
========

* License
* System Requirements
* Introduction
* Directory Structure
* Usage and Installation
* Building instructions
* Contact

 
License
=======

MyDoggy is licensed under the LGPL, please see the LGPL.txt file for more information.

System Requirements
===================

MyDoggy requires JDK5 or higher.


Introduction
============

MyDoggy is a Java docking framework for use in cross-platform Swing applications.
MyDoggy is an IntelliJ Idea like docking framework for managing secondary windows within the main
window. MyDoggy allows to move, resize or extract those secondary windows.
Also, MyDoggy provides support for content management of the main window.
Like Eclipse, MyDoggy supports the concept of "prospective" using mydoggy groups.


Directory Structure
===================

mydoggy-1.5.0
    bin                         - Contains scripts for launching mydoggy examples.
    lib                         - Contains mydoggy jars (
    								mydoggy-api-1.5.0.jar,
    								mydoggy-plaf-1.5.0.jar,
    								mydoggy-res-1.5.0.jar,
    							    TableLayout-20020517.jar,
    							    mydoggy-examples-1.5.0.jar,
    								mydoggy-itest-1.5.0.jar,
    							    junit-3.8.1.jar.
    							    <other libs>
        win32                   - Contains TransparencyManager.dll
    license                     - Contains license information.
    mydoggy-api                 - Contains sources of mydoggy api.
    mydoggy-examples            - Contains sources of mydoggy examples.
    mydoggy-plaf                - Contains sources of mydoggy plaf (the default implementation of the api).
    mydoggy-site-skin           - Contains sources of mydoggy site skin.
    mydoggy-res                 - Contains sources of mydoggy res.
    src                         - Contains sources of mydoggy site.
    makefile                    - The makefile to build TransparencyManager.dll

Usage and Installation
======================

MyDoggy is build using Maven-2. So first you have to download Maven-2 from http://maven.apache.org.
The POM declares a few dependencies which are hosted on any publicly available Maven Repository.
You then should be ready to build MyDoggy.

Building instructions
=====================

To build MyDoggy for JDK5 simply call :

    mvn clean package install

To build the binary and the source distribution simply call :

    mvn -Ddistro clean package install assembly:assembly


Contact
=======

MyDoggy is developed by Angelo De Caro.
Feel free to contact me at [email protected]
If you need help with something or just want to say hello, you can also
use the forums or the support section at sourceforge.net.

mydoggy's People

Contributors

amrmahmoudabdelghany avatar thevpc avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.