Free graphical data visualization software for mac

Graphical Analysis is an inexpensive, easy-to-learn program for producing, analyzing, and printing graphs. It is also great for importing data from a TI graphing calculator (using a TI-GRAPH LINK cable) or from a Palm OS handheld. It has been one of our most popular products for years and now its even better! We have rewritten Graphical Analysis, adding new features and updating its look and capabilities. Graphical Analysis has many of the same features that Logger Pro has, except it cannot collect live data.
Enhancements:
- Adds support for the USB direct cables included with TI-84 family calculators, double-Y graphs, and photo analysis.

Graph Quick Look Plugin 10.5.5 is an advanced program which satisfies you with the first data visualization plugin for the Finder.

Major Features:

1. Seamless Integration: Install the plugin and view data files through the Finder. There is no need to launch a separate application and all of the browsing features of the Finder are available, including sorting by file attributes and display with cover flow, icon and list views.
2. State Of The Art: Includes 32-bit and 64-bit versions in one integrated package.
3. Extended Plugins: Plugins can be extended to handle 3D, log, polar, and other graph types according to the user's specific needs1. A premade example plugin handles the staple of engineering: line graphs.
4. Legendary Formatting Options: Graphics and effects are specified using an advanced graph building tool. This gives easy access to hundreds of effects and attributes that help show off the beauty of graphs within the Finder.

Data Display Debugger 3.3.9 is considered as a smart and useful debugger tool. DDD is a graphical front-end for command-line debuggers such as GDB, the Perl debugger, or the Python debugger. Besides "usual" front-end features such as viewing source texts, DDD has become famous through its interactive graphical data display, where data structures are displayed as graphs.

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:

1. GRASS (Geographic Resources Analysis Support System) is a raster/vector GIS, image processing system, and graphics production system.
2. 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.
3. GRASS uses both an intuitive windows interface as well as command line syntax for ease of operations.
4. GRASS can interface with commercial printers, plotters, digitizers, and databases to develop new data as well as manage existing data.
   
5. 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.
   
6. 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.
7. 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
  

CLC Sequence Viewer 6.2 is a freeware that creates a software environment enabling users to make a large number of bioinformatics analyses, combined with smooth data management, and excellent graphical viewing and output options.

Major Benefits:

• You will have easy access to a large number of integrated research tools:
• • Creating and editing alignments
  • Interactive restriction site analysis
  • Phylogenetics
  • Integrated GenBank searches
  • Advanced DNA to Protein translation
• You can get easy access to hardware accelerated database searches
• • Plug in the Bioinformatics Cube and increase your search speed up to 200 times
• Your research work will be easy to carry out
• • The program is graphically based, intuitive, and user-friendly
• You will have a bioinformatics solution that continuously evolves
• • The frequent program updates keep you up to date with the latest scientific developments. Your ideas for future improvements will have top priority.
• You will get superior customer service
• • Free support to all users.
    

Major Features:

1. Bioinformatics features in CLC Sequence Viewer
   • Multiple alignment of DNA, RNA, and proteins
   • • Two proprietary algorithms
     • ClustalW
     • Muscle
     • T-Coffee
     • MAFFT
     • Kalign
   • Consensus sequence determination and management
   • Conservation score along alignments
   • Open reading frame determination
   • Easy access to web-based protein and nucleotide search in GenBank, including download facilities and full graphical overview of sequence annotations of your choice
   • Translation from DNA to proteins (all genetic translation tables)
   • Reports with residue composition, molecular weight and iso electric point (for proteins)
   • Neighbor-joining and UPGMA phylogenies
   • Restriction site analysis and viewing
   • Create reverse complement
   • Shuffle sequence
   • Option of viewing and graphical manipulation of bioinformatics analyses made in commercial workbenches from CLC bio
2. Other features in CLC Sequence Viewer
   • Full integration of data input, data management, calculations results, and data export. This eliminates time spent on manual data transfers between different programs and databases
   • All types of files can be saved in local projects and launched from the program
   • Detailed history log
   • User-friendly graphical tools used in order to find and work with relevant regions of DNA, RNA and protein sequences
   • Text-based sequence view
   • Easy printing of reports and graphics
   • Export of user-defined figures to various graphics file formats
   • Import and export of data in a large number of file formats
   • Option of working with different files and in different file projects at the same time
   • Option of working in several active workspaces at a time, enabling simultaneous work on multiple projects

Enhancemnets:

• New features:
• • Import list of sequences in csv format: each line in the file represents a sequence with name, optional description, and sequence. Typically useful for importing lists of oligos.
  • Advanced view of elements in a folder including batch editing.
  • Extract sequences improvements
  • You can now drag results from NCBI searches into the view area to open directly (previously you could only drag into a folder to save)
  • "Find" in text view now accepts Enter as command to find the next hit
  • Importing VectorNTI archives previously resulted in a sequence list. Now it imports as single sequences.
  • Export of annotations in GFF format (note that annotations with joined regions are not supported)
• Bug fixes:
• • Problem rendering scatter plots without lines
  • DNA strider files could loose name upon import
  • Rare misplacement of annotations when editing very large sequences
  • Various bug-fixes

JColorGrid is a data visualization tool. JColorGrid is a platform-independent Java application for transforming numerical or text data into color-grids.

A color-grid is a generalization of the popular heat map representation that displays information two-dimensionally with an associated color hue. Color-grid representations provide an excellent means of illustrating complex data sets and can be used to identify trends, clusters and extremes in a given data set.

JColorGrid has been designed for ease of use and general utility. Data is entered into JColorGrid from a spreadsheet file (.xls) or a tab-delimited text file. Titles, row and colomn headings, scale titles and data are specified in input file. JColorGrid will represent both numerical and text data. There is no limit on the number of columns and rows.

Configuring the output color-grid is done using the JColorGrid configuration menu. Display colors can be specified for the data range, as well as for data the requires special handling, called exceptions. Additionally, the gradiant of the color scale is specified in the configuration menu. JColorGrid has many flexible color options that users are encouraged to explore. JColorGrid will output to both JPEG and EPS allowing the user to further modify the color-grid output in a suitable graphics editor.