Open Source Data Visualization Software - Page 44

The BEAM project has moved away from SourceForge.net to a dedicated web site at http://envisat.esa.int/beam

BIRD stands for Business Intelligence Research and Development and it is part of the CoIntell Corporation (www.cointell.com). The goal of the BIRD community is to develop smart BI solutions Fast!

BLIX is a cross-platform set of Python extension modules and Python scripts for Blender (www.blender.org). These scripts add camera calibration, 3D reconstruction and rigid body orientation to Blender.

BL_SOM_PAK is a library of Self Organizing Map(SOM), a visualization and clustering method. There is a SOM library named 'SOM_PAK' but SOM has known problem. Our purpose is to make new library which use improved SOM(Batch Lerning SOM, BL-SOM)

The aim of this project is to translate the geostatistical BMELib Matlab Toolbox (http://www.unc.edu/depts/case/BMELIB/) into Python.

BUSMASTER is an Open Source Software tool to simulate, analyze and test data bus systems such as CAN.

Scientific software for the physically accurate photorealistic visualisation of relativistic (near light-speed) scenarios.

A simulation of balls bouncing in a room in n >= 2 dimensions for educational purpose or usable as screensaver. Runs under UNIX/Linux, needs the Qt GUI Library and OpenGL.

the Balls Graphics Library aims to provide all the tools you need to develop artificial worlds, including a script-driven 3D modeler, OpenGL-based renderer, physical simulation engine, and realistic image synthesizer.

Bandwagon is an experiment in visualising data extracted from community-driven websites.

Basic (mathematical) operations for B-spline functions and related things with Julia.

Basic life is an application that desires to simulate basic life based on some basic chemistry/physics rules. This environment provides particles that can bond, vibrate, react, etc. in order to create basic cells

This application allows you to graph your Basis data in several ways and allows you to easily move across dates, plot mulitple attributes simultaneously, and understand trends and answer questions. This application assumes you've already run the BasisRetriever application and downloaded your metrics in csv format.

Bayesian statistics is an approach to inferential statistics based on Bayes' theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used for making predictions about future events. Bayesian statistics is a departure from classical inferential statistics that prohibits probability statements about parameters and is based on asymptotically sampling infinite samples from a theoretical population and finding parameter values that maximize the likelihood function. Mostly notorious is null-hypothesis significance testing (NHST) based on p-values. Bayesian statistics incorporate uncertainty (and prior knowledge) by allowing probability statements about parameters.

Beam and it's follow-on I-Beam are sets of programs to produce coverage charts of radio sources. It has been used for RADAR, DME, VOR and various communications sources specific to aviation. However, it is also valid for cell phone, TV and radio towers

Extremely Lightweight Beat Detection Algorithm - BeatDetektor uses a very simple statistical model designed from scratch by myself to detect the BPM of music and provides real-time feedback useful for visualization and synchronization.

An Open Source IEC 61131-3 Integrated Development Environment, providing PLCOpen SoftPLC programming, CanOpen IO's, and SVG based HMI.

The Beta Machine Learning Toolkit is a package including many algorithms and utilities to implement machine learning workflows in Julia, Python, R and any other language with a Julia binding. All models are implemented entirely in Julia and are hosted in the repository itself (i.e. they are not wrapper to third-party models). If your favorite option or model is missing, you can try to implement it yourself and open a pull request to share it (see the section Contribute below) or request its implementation. Thanks to its JIT compiler, Julia is indeed in the sweet spot where we can easily write models in a high-level language and still have them running efficiently.

NOTE: developement of this project has moved to GitHub http://github.org/matthuska/biasviz/ BiasViz is a Java applet for visualization of amino acid bias in multiple sequence alignments.

BigBizViz is an open source visualization software which represents the social network between the German incorporated companies (“Deutschland AG”), the members of the German federal assembly (“Deutscher Bundestag”) and members of pressure groups

Binary Dependency Builder for Julia. Building binary packages is a pain. BinaryBuilder follows a philosophy that is similar to that of building Julia itself; when you want something done right, you do it yourself. To that end, BinaryBuilder is designed from the ground up to facilitate the building of packages within an easily reproducible and reliable Linux environment, ensuring that the built libraries and executables are deployable to every platform that Julia itself will run on. Packages are cross-compiled using a sequence of shell commands, packaged up inside tarballs, and hosted online for all to enjoy. Package installation is merely downloading, verifying package integrity and extracting that tarball on the user's computer. No more compiling on user's machines. No more struggling with system package managers. No more needing sudo access to install that little mathematical optimization library.

BinaryView is able to show 2d binary data either as xy-plot or using a simple fragment shader. Standard shaders like simple color mapping or a relief shading for digital elevation data already exist, but you can also write your own shader. As an example, the screenshots show Mars MOLA topographic data taken from http://pds-geosciences.wustl.edu/missions/mgs/megdr.html

Visualize your bioinformatics analysis process.

BioGraphNet is a 'sandbox' within BioMOBY, comprising a common standard and collection of services for sharing distributed protein-interaction network information. We now serve several network data types, and encourage others to participate.

Matlab tool for plotting multi-channel biomedical signals. It is designed for researchers on both engineering and medicine who have to collaborate to visualize and analyze signals. It is the ideal tool to plot electroencephalogram (EEG), Foetal Heart Rate (FHR) and many other signals with the standard tools used in clinical routine.