data visualization
Visifire 2.3.2
Visifire is an integrated program which is packed with open source data visualization components - powered by Microsoft Silverlight. With Visifire you can create and embed visually more>>
Enhancements:
- In Column and Bar chart, Data Point label was not appearing if Y Value property was set to 0 (zero).
- Exact Width and Height of the Axis will be available once the chart gets rendered.
License:Freeware
License:Freeware
License:Freeware
License:Freeware
License:Freeware
Visifire 2.2.8b3 is known as a set of open source data visualization components - powered by Microsoft Silverlight that can help you create and embed visually stunning animated Silverlight ChartsLicense:Freeware
License:Freeware
License:Freeware
License:GPL
License:Freeware
License:Freeware
License:Freeware
License:GPL
License:GPL
Vvidget 10.6.1
Vvidget is a tool endowed with extraordinary powers of making applications which report data in graph, custom map, table, form, and textual formats. more>>
Vvidget 10.6.1 is a tool endowed with extraordinary powers of making applications which report data in graph, custom map, table, form, and textual formats.
Vvidget Pro includes the interactive layout application Vvidget Builder and pre-built objects. Vvidget Pro accepts real-time data from any source and serves as an information visualization engine for real-time system, transaction, production and inventory analysis, database systems, web servers, batch reports, instrumentation, process control and any other visual need.
Vvidget Pro is fully object-oriented and is well suited to systems which require reliability, exacting specifications and performance. Simply put, Vvidget Pro is the most powerful data reporting, visualization and graphing solution for Mac OS X with over twelve years of product development incorporated into a world-class programming framework.
Enhancements:
- Adds Laboratory Of Interfaces
License:update/patch
R-Studio Data Recovery 2.0 build 903
R-Studio Data Recovery is a professional and easy to use data recovery software for Apple lovers. more>> <<less
License:update/patch

Aabel 3.0.3
Aabel will make you satisfied because it is a modern, powerful, and feature-rich Mac OS X Universal package. more>>
Major Features:
- Diverse statistical & exploratory data analysis methods
- Easy to use data-reduction techniques for complex multivariate data
- A unique pipeline design that allows real-time two-way interaction with data and makes multivariate & exploratory data analysis a breeze
- Interactive data visualization, a rich variety of graph types, and over 240 styles of data representation
- Thematic mapping and related importers & map projection utilities
- Native worksheets providing numerous data management tools, a formula editor, and other utilities
- Multidimensional data filtering comparable to a database search
- Diverse data import and graphic file export support, a data manipulator, flexible customizing tools, Unicode support, publication quality graphics, and more.
Requirements:
- Mac OS 10.4.4.x, Leopard, or Snow Leopard
- Intel- or Power PC-based Mac
- A color monitor with a minimum resolution of 1024 x 768

Boomerang Data Recovery 2.1.11
Boomerang Data Recovery 2.1.11 is such a wonderful program which recovers lost data due to corruption, formatted disk, bad hard drive, deleted files, accidental re-install of os. more>> <<less
LightWorks 8.1
Full featured CAD application. more>>
LightWorks 8.1 is a powerful tool which is designed to provide you with full featured CAD application.
LightWorks is the industry's leading rendering engine for 3D design, renowned for its physically accurate visualization of CAD data and for simulating real-world lighting conditions and materials.
VR-Render 0.8
Medical image viewer, explore & analyze 3D medical or scientific data. more>>
VR-Render 0.8 is a powerful tool which enables practitioners to quickly explore and analyze 3D medical or scientific data on a standard PC (Windows, Linux, MacosX). A medical image viewer freeware. It is an interactive system for planar and volume visualization. This software uses fast OpenGL graphics (ATI/NVidia) and is able to load a series of images stored in DICOM format (uncompressed and JPEG,) for medical review.
Visualization tools include orthogonal MPR, volume rendering and multiple colormaps (automated conventional colormap and dedicated digestive surgery colormap). Analyzis tools include distance measurement tools and image processing operators. For astronomical research, FITS format is supported (only on MacOSX). These software applications are built on top of multiple open source systems like boost (for basic system), wxWidgets (for GUI), gdcm (for loading DICOM) and itk/vtk/vtkinria3d (for segmentation and visualization).
It is an interactive system for volume visualization which enables practitioners to quickly ... analyze 3D medical or scientific data on a standard PC (Windows, Linux, Mac OS X). This softwarevisual-db 0.5
Database visualization tool for your Mac VisualDB is a tool for visualization of the database as tables with relations between them more>> Database visualization tool for your Mac
VisualDB is a tool for visualization of the database as tables with relations between them. At this point the developmnet focuses on PostgreSQL, but in the future we are planning on supporting other DBMS, such as MySQL, Oracle, SQLite, etc.
Enhancements
- PostgreSQL databases are supported. DB structure visualization was added.
GenoViz 5.14 RC
Provides software applications and re-usable components for genomics data visualization One of the projects included in the GenoViz software pack is IGB: the Integrated Genome Browser more>> Provides software applications and re-usable components for genomics data visualization
One of the projects included in the GenoViz software pack is IGB: the Integrated Genome Browser.
The GenoViz project includes three components:
- GenoViz SDK (software development kit) is a library of re-usable components for genomics data visualization.
- Genometry is a unified data model to represent relationships between biological sequences. It is mainly used in the Integrated Genome Browser
- Integrated Genome Browser (IGB, pronounced "ig-bee") is a desktop application that uses both the GenoViz SDK and Genometry. It supports visualization and exploration of genes, genomes, and genome-scale data sets, especially data from genome tiling arrays.
IGB can display data from DAS (Distributed Annotation System) servers and local files on your file system.
Enhancements
- Updated xerces jar files to version 2.9.1.
- Removed jetty.jar file. It is no longer needed.

ParaView 3.4
ParaView offers users a versatile, professional data analysis and visualization application. more>> ParaView 3.4 offers users a versatile, professional data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaViews batch processing capabilities.
ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of terascale as well as on laptops for smaller data.
Tour de Flex 1.2.3
Expand what you can do with Flex with running examples of common components, effects, and coding techniques more>>
Tour de Flex includes over 200 running samples, each with source code, links to documentation, and other details. Topics include the Flex core components, Flex data access, AIR desktop capabilities, cloud APIs, data visualization, mapping, and a growing collection of custom components, effects, and skins.
Major Features:
- Provide non-Flex developers with an overview of what is possible in Flex in a "look and see" environment
- Provide Flex developers with an illustrated reference tool
- Provide commercial and non-commercial Flex developers with a place to showcase their work
Requirements: Adobe AIR
GRASS GIS 6.4rc5
Geographic resources analysis support system. more>>
GRASS GIS 6.4rc5 is stand for Geographic Resources Analysis Support System, which used for data management, image processing, graphics production, spatial modelling, and visualization of many types of data. It is Free (Libre) Software/Open Source released under GNU General Public License (GPL). GRASS is official project of the Open Source Geospatial Foundation.
Originally developed by the U.S. Army Construction Engineering Research Laboratories (USA-CERL, 1982-1995), a branch of the US Army Corp of Engineers, as a tool for land management and environmental planning by the military, GRASS has evolved into a powerful utility with a wide range of applications in many different areas of scientific research. GRASS is currently used in academic and commercial settings around the world, as well as many governmental agencies including NASA, NOAA, USDA, DLR, CSIRO, the National Park Service, the U.S. Census Bureau, USGS, and many environmental consulting companies.
The new GRASS 6 release introduces a new topological 2D/3D vector engine and support for vector network analysis. Attributes are now managed in a SQL-based DBMS. A new display manager has been implemented. The NVIZ visualization tool was enhanced to display 3D vector data and voxel volumes. Messages are partially translated (i18N) with support for FreeType fonts, including multibyte Asian characters. New LOCATIONs can be auto-generated by EPSG code number. GRASS is integrated with GDAL/OGR libraries to support an extensive range of raster and vector formats, including OGC-conformal Simple Features.
The GRASS Development Team has grown into a multi-national team consisting of developers at numerous locations.
In September 2006, the GRASS Project Steering Commitee was formed which is responsible for the overall management of the project. The PSC is especially responsible for granting SVN write access.
Major Features:
- GRASS (Geographic Resources Analysis Support System) is a raster/vector GIS, image processing system, and graphics production system.
- GRASS contains over 350 programs and tools to render maps and images on monitor and paper; manipulate raster, vector, and sites data; process multi spectral image data; and create, manage, and store spatial data.
- GRASS uses both an intuitive windows interface as well as command line syntax for ease of operations.
- GRASS can interface with commercial printers, plotters, digitizers, and databases to develop new data as well as manage existing data.
- GRASS supports workgroups through its LOCATION/MAPSET concept which can be set up to share data over NFS (Network File System). Keeping LOCATIONs with their underlying MAPSETs on a central server, a team can simultaneously work in the same project database.
- GRASS is released under GNU GPL, the source code (5.x: more than 1 million lines of C; 6.x 500k SLOC) is completely available.
- GRASS provides a sophisticated GIS library which can be used for own developments.
Enhancements:
- New modules
- Major module changes
- Minor module changes
- Library changes
- Driver changes
- GUI changes
- Portability changes
- Build changes
- Documentation updates
- Message translation updates
- Closed tickets
- Closed bugs since branching
Bioclipse 2.0.0 RC1
Open source workbench for chemo and bioinformatics built on the Eclipse Rich Client Platform (RCP) more>> Open source workbench for chemo and bioinformatics built on the Eclipse Rich Client Platform (RCP)
Bioclipse, as any RCP application, is based on a plugin architecture that inherits basic functionality and visual interfaces from Eclipse, such as software updates, preferences, help system, cross-platform deployment etc.
Bioclipse will provide functionality for chemo and bioinformatics, and extension points that easily can be extended by plugins to provide added functionality. The first version of Bioclipse includes a CDK-plugin (bc_cdk) to provide a chemoinformatic backend, a Jmol-plugin (bc_jmol) for 3D-visualization and a general logging plugin.
NOTE: Bioclipse is licensed and distributed under the terms of the Eclipse Public License.
Main features:
- Import and export in various file formats
- Visual editing of molecular 2D-structures
- 3D-visualization of molecules and proteins
- Editing and visualization of sequences and features (DNA, RNA, proteins etc)
- Graphing and editing of various types of spectra, e. g. NMR, MS
- Retrieval of resources (sequences, proteins, etc) from public data repositories
- Scripting of 3D-visualizations with syntax highlighting and content assistance
- PDB-editor with syntax highlighting for working with PDB files
- CMLRSS-viewer for downloading chemical content published on the web using RSS-feeds
- Chemtree for displaying a hierarchical view of molecular and macromolecular substructures
- Visualization of syandard chemical properties
- Powerful scripting language based on Mozilla Rhino for automating tasks
- Integrated, searchable help-system
- Connection with external programs, e. g. PyMol
weka 3.7.0
Machine learning algorithms for solving real-world data mining problems more>> Machine learning algorithms for solving real-world data mining problems
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code.
Weka contains tools for data classification, regression, pre-processing, association rules, clustering, and visualization. It is also well-suited for developing new machine learning schemes.
System requirements:
- Java

Structure 2.1
Screensaver displays 3D protein structures. more>>
Structure 2.1 is known as a perfect protein / macromolecule visualization tool that runs as a screensaver module. It colorfully renders PDB (Protein Data Bank) files using unique algorithms. The module automatically annotates, colors, and rotates structures for an educational and captivating display. Show off your research or simply enjoy this entrancing introduction to structural biology!
Major Features:
- Endless variety - automatically downloads new structures from the Protein Data Bank archive
- Load files from a folder of your choice.
- Clear and informative rendering - three rendering styles including transparent wireframes effectively differentiate and highlight ligands and heterogens.
- Text overlay provides additional details about each structure.
- Fast OpenGL rendering means low processor usage.