Open Source Data Visualization Software

Released August 22, 2013 Lubuntu Blends: Biochemistry 13.04 (Raring) v5.44 Linux Kernel Image 3.8.0-29 Lubuntu Blends are pre-installed Wubi disk image remixes of Ubuntu and Debian Science meta packages, A custom boot loader allows installations to be copied and automatically booted from most external or USB flash drives. Once up and running, use earlier Lubuntu Remix README instructions here until documentation is updated. https://sourceforge.net/projects/portable-linux/files/ Installation 1. Download the Wubi installer http://releases.ubuntu.com/saucy/wubi.exe 2. Install any flavor of Ubuntu. 3. Swap out the root.disk with the ones provided here. Overview LAMP stack running on localhost (127.0.0.1). Scientific, productivity & media packages include R (Rattle Data Miner), GridEngine, Condor, cooperative computing tools, WINE, LibreOffice, Evolution, Clinica, Neuro Debian Desktop, PsycoPy, OpenVibe, 3DSlicer, Paraview, Openshot. Cheers, Gregory Remington

DRINKS Toolkit is a collection of web-based widget, focused in the first release, to realize an online strumentation. It provides a practical and immediate interface to represent your data in the best possible way. Every widget is drawed using HTML5 Canvas API in a Javascript based environment. Drinks was born to allow users to easily realize custom dashboards without any programming knowledge, infact, you can use your instrument on a webpage simply using HTML tags, or using BarMan IDE to create your applications in a click. DRINKS Toolkit (hardware and software) are released as Open Source project.

It's revolutionary invention for design of any product or design project, cause work with basics of Nature/Universe, it works with origin of all things created, a Light.

ExplorViz is a web-based software visualization for large software landscapes. It features two different perspectives: the landscape-level perspective and the application-level perspective. The former visualizes the systems, nodes, and application existing in the software landscape. The latter one utilizes the city metaphor to visualize the entities and communication happening in one application. For installation instructions and downloads see http://www.explorviz.net

Semantics Visualizations enable understanding complex matters in an easy way. The research group “Semantics Visualization” is working on processing, enriching, and visualizing any kind of semantic data to provide visually discoverable information. Thereby processes of knowledge acquisition, human information retrieval, and decision making are supported by a variety of interactive visual representations. The developed visualizations do not only allow to investigate the masses amount of various semantic formats on Web, e.g. Linked- Data or Social Networks, they also enable the interactive illustration of structured data. With SemaVis we developed a technology that provides various perspectives on the semantics of information. By combining different visualization techniques users and enterprises are able to perceive various data and information characteristics. SemaVis enables a facilitate human access to the “Internet of Data”.

SADSA (Software Application for Data Science and Analytics) is a Python-based desktop application designed to simplify statistical analysis, machine learning, and data visualization for students, researchers, and data professionals. Built using Python for the GUI, SADSA provides a menu-driven interface for handling datasets, applying transformations, running advanced statistical tests, machine learning algorithms, and generating insightful plots — all without writing code.