Debian Science Viewing packages

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data. Cassandra's support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages.

Grits is a "Virtual Globe" library which uses OpenGL to render an image of the earth using satellite and terrain data from publicly accessible servers. This is similar in concept to Google Earth and NASA World Wind, except implemented as a library.

This package contains the header files and libraries which are needed for developing programs that use grits.

PlotDrop is designed for quick simple visualisation of 2D data series. It is intended to be used in tandem with an external filesystem browser such as GNOME's nautilus or KDE's konqueror. Files containing data are added by dragging them from the browser to the file list.

Qtiplot is a fully fledged plotting software similar to the OriginLab Origin software (See http://www.originlab.com for more information about Origin).

It can make two and three dimensional plots of publication quality, both from datasets and functions. It can do non-linear fitting and multi-peak fitting.

Some Features:

• Cross platform: works natively on Windows, Mac OS X and Linux/Unix systems
• Fully Python scriptable
• OpenGL based 3D plotting
• Publication quality plots and easy export to various image formats (EMF, EPS, PS, PDF, SVG, BMP, JPG, PNG, TIFF, etc ...)
• Easy integration with LaTeX typesetting system
• Powerful and versatile spreadsheets with column-logic calculations and easy import/export of multiple files
• One-click access to extensive built-in data analysis routines
• Advanced statistical analysis: Student's t-Test, ANOVA, chi-square test for variance, normality test (Shapiro-Wilk)
• Linear and nonlinear curve fitting with weighting and estimation of statistical errors of the fit-parameters
• Multi-peak fitting
• Image analysis tools
• Templates support: all settings for plots, tables and matrices can be saved and restored later on for a fast editing process
• Project files based on folders, a powerful project explorer with built-in drag and drop and searching facilities
• Full import of Excel workbooks and Open Document Format spreadsheets, dBase, SQLite and Microsoft Access databases

RLPlot is a GUI based program for displaying scientific data in standard formats. It has full support for all error-bar types and it has greater flexibility with displaying colour and texture in charts than gnuplot (filled bar chart boxes are possible without any additional programs). Output is generated on the X display where further changes can be made to the graph using point and click methods. Images can be exported as scalable vector graphics (SVG) as well as EPS, WMF and TIFF formats.

VisIt is a free interactive parallel visualization and graphical analysis tool for viewing scientific data. Users can quickly generate visualizations from their data, animate them through time, manipulate them, and save the resulting images for presentations. VisIt contains a rich set of visualization features so that you can view your data in a variety of ways. It can be used to visualize scalar and vector fields defined on two- and three-dimensional (2D and 3D) structured and unstructured meshes.

VisIt was designed to handle very large data set sizes in the terascale range and yet can also handle small data sets in the kilobyte range.

This package provides tools to generate plots and labeled axes easily. It draws normal plots, logplots and semi-logplots. Axis ticks, labels, legends (in case of multiple plots) can be added with key-value options. It can cycle through a set of predefined line/marker/color specifications. In summary, its purpose is to simplify the generation of high-quality function plots, especially for use in scientific contexts (logplots).