Search Results for "google-visualization-python"

NOTE! We have moved to https://gitlab.com/msc-generator/msc-generator All development happens there. Also, download new releases & submit issues there. A tool to draw various charts from textual descriptions. Currently, three types of charts are supported: Message Sequence Charts, generic Graphs, and Block Diagrams, with more to be added in the future. There is a command-line version for Linux and Mac (replacing mscgen), which now sports a GUI, as well. Msc-generator allows fine...

...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”.

Pear3DEngine is a modern and modular 3D development framework that lets you create professional games, simulations and more. You are free to develop your program in C + +, XML or LUA and publish it as open source software or selling it as a commercial program. The rendering engine uses internally OpenGL or DirectX optionally. The planned editor supports software development on Linux, Windows and maybe MacOS X. DirectX 9 and therefore Windows XP are currently not supported and support is not...

EyeMap is a visualization and analysis tool for text reading eye movement data. It can process Unicode, proportion/non-proportion and spaced/unspaced reading materials, which supports various languages and experiment methods.

MooGraph is an utility to produce interactive dynamical graphs from statistical data. Deliberately inspired to GapMinder, it represents the evolution of multivariate data in time by means of coloured bubbles of variable sizes on an (x,y) plot.

VarPlan is a web application to visualize and manage variants as tree like graph view. The approach is to keep the overview on hundreds of variants with their meta informations.

VisualSense was developed to serve as an analysis tool for textual and numerical data extracted from image analysis of artwork from different cultures and influences. It can be used for any kind of data respecting the format (specified in the README)

Flex classes for creating Timelines graphs. Based on the standard charting classes