Datavyu is an open-source research tool that integrates and displays all kinds of data, letting you discover the big picture while remaining connected with raw data. Datavyu will let you build and organize interpretations, and will assist with analysis.
You can find binaries of Datavyu available for Windows and OSX on the Datavyu.org download page.
To get started with Datavyu development, you will need to download and install a few development tools. Datavyu is primarily written in Java, along with a little Ruby (via JRuby) for additional scripting tasks. So the list of toys you will need to download:
To build and package Datavyu, use the following commands:
git clone https://github.com/databrary/datavyu.git
cd datavyu
export MAVEN_OPTS="-Xmx256M"
mvn clean -U -Dmaven.test.skip=true jfx:native
Follow these steps for the setup.
Note, this setup will not run with the debugger in Intellij.
Follow these steps for the setup.
Datavyu uses the Swing Application Framework to persist the state of frames and windows and to ease the loading and setup of GUI components in java. Further information about the framework can be found here: https://en.wikipedia.org/wiki/Swing_Application_Framework#cite_note-1. However, this framework is not officially supported by Sun (Java) as the proposal was withdrawn over design disputes: https://jcp.org/en/jsr/results?id=3801. Documentation on using this framework is limited and one of the best places to find documentation is here: http://www.oracle.com/technetwork/articles/javase/index-141957.html#code19. Also, notice that underneath the Swing Application Framework uses JavaBeans to provide additional storage; aside from the internal mechanism of saving state of the windows in properties files. This mechanism uses the LocalStorage class; see Example 19 (http://www.oracle.com/technetwork/articles/javase/index-141957.html#code19). A tutorial on javaBeans is here: http://docs.oracle.com/javaee/5/tutorial/doc/bnair.html.
pre_version.txt, version.txt
See the wiki for more information on how to code and contribute improvements to Datavyu.
A list of features and fixes that need implementing for Datavyu can be found here.