Free data analysis software for mac

KaleidaGraph 4.1.1 is designed as a professional and useful software for curve fitting and data analysis.

Major Features:

1. Powerful Curve Fitting
   • Built-in fits include: Smooth Weighted, Cubic Spline, and Interpolate curve fits, as well as Least Squares Regressions (linear, polynomial, exponential, logarithmic and power).
   • Includes a library of over 100 industry-specific formulas you can customize.
   • Utilize a predefined fit or enter your own equation (up to 9 parameters)
   • Define up to 16 curve fits for simultanoues use on a single plot.
   • Extrapolate curve fits to axis limits.
   • Show fit equation, parameters, and R or R2.
   • Copy the values of the curve fit or the residuals into the data window for further analysis.
2. Data Entry
   • Type data directly into the data window.
   • Open Excel files directly.
   • Import Tab, Space, and Comma delimited text files created in other applications.
   • Read user specified data formats, including fixed / variable data widths and read / skip capabilitiy.
   • Preview your data set while importing it.
   • Windows and Macintosh data and graphs are fully interchangeable. DDE client support (Windows version).
3. Plot Types
   • Line, Scatter (X-Y), Double-X, Double-Y, Double-XY, High/Low, Step, Probability, X-Y Probability, Histogram, Box, Percentile, Horizontal Bar, Stack Bar, Column, Stack Column, Polar, Pie Summary Column, Double Y Bar, Double Y Column, Dot and Function (enter a formula).
   • Binned data can be exported to a Histtogram, Step Plot, or Spike Plot.
4. Plot Customization
   • Fully customize your plot's attributes (axis limits, label frequency, ticks, grids, color, font, style, legend, plot size, etc.)
   • Create customized color palettes.
   • Control the number of markers displayed, marker shape (36 choices), size, and color.
   • Control the ticks and axis labels on the X2 and Y2 axes by creating a link to their primary axis.
   • Set the initial tick mark and specify tick intervals.
   • Log or Linear axis settings.
   • Partial decades allowed on any log axis.
   • Option to use standard baseline instead of 1 on column plots with a log axis.
   • Display rulers and grids for placing plot elements.
   • Preview your plot changes without leaving the dialog.
   • Add very flexible axis breaks.
   • Cross axis at a specific value.
   • Freely position the plot axis at any desired location.
   • Display scientific and engineering plot labels in one of five formats.
5. Drawing Tools
   • Add Lines, Arrows, Boxes, Ovals, Arcs, Polygons, and Bezier curves to the plot.
   • Choose from 11 different styles for lines and arrows.
   • Copy, Duplicate, Group, Align, and Layer objects.
6. Data Management
   • Up to 160 open data windows (containing up to 1000 columns by 1 million rows each).
   • Data Formats: Floating point, Double precision, Integer, Data, Time, and Text.
   • Display date and time values in one of 18 formats.
   • Perform multi-level sorts on the data.
   • Make notes about your data (Posted Note).
   • Update the plot automatically (or on-demand) if any changes are made in the data window.
   • Independently adjustable column width and row height.
   • Select font, font size, style, justification, font color and background color for individual columns.
   • Add horizontal and vertical splits to compare different sections of the same data window.
   • Perform key operations quickly using the Toolbar.
7. Data Analysis & Manipulation
   • Statistics
   • • Parametric Tests: One and two way ANOVA (with repeated measures), t-test.
     • Nonparametric Tests: Wilcoxon (Signed Rank, Matched Pairs, Wilcoxon-Mann-Whitney), Kruskal-Wallis, and Friedman.
     • Post Hoc Tests: Tukey HSD, Bonferonni, Holm, Student-Newman-Keuls, Scheffe, Fisher's LSD and Dunnett.
     • Descriptive Statistics: Min, Max, Sum, Points, Mean, Median, RMS, Std Deviation, Variance, Std Error, Skewness, and Kurtosis.
   • Formula entry
   • • Select from over 100 menu items to create algebraic equations for data manipulations.
     • Use scripts to automate the process of importing data, manipulating data, creating plots, and exporting or printing plots.
   • Macro Calculator
   • • Use Conditional testing, Boolean testing, Subroutines, and Nested Loops.
     • 1000 step RPN program capability.
8. Special Plot Features
   • User selectable error bars can be added with independent upper and lowe error types. Error values can be calculated or specified in a data column.
   • Graphically mask data regions to temporarily eliminate data point. Numerical values of bars, columns, or pie slices can be placed automatically on the plot.
   • Plot up to 20 dependent variables at once on a single set of axes. Combine multiple data sets on a single plot.
   • Plot multiple X variables from one data set.
   • Use the Extract button to display any data windows used to create the plot.
9. Export / Import & Print
   • Export plots as Metafile, JPG, GIF, TIFF, PICT, PNG, and BMP files. EPS also utilizing printer driver.
   • Import Metafile, JPG, GIF, TIFF, PICT, BMP, and EPS files.
   • Use the page layout feature to easily combine plots, text, and graphics on a single page.
   • OLE Server support (Windows version).
   • Save plots and layout in a single file.
   • Seamless interaction with Microsoft Office including ungrouping of plots in PowerPoint.

Requirements:

• WINDOWS
• • Intel Pentium Processor
  • Windows XP SP2, Vista and newer
  • 256 MB RAM
  • 45 MB available disk space
• MACINTOSH
• • PowerPC or Intel processor
  • Mac OSX 10.3.9 and later
  • 256 MB RAM
  • 45 MB available disk space

Major Features:

1. Diverse statistical & exploratory data analysis methods
2. Easy to use data-reduction techniques for complex multivariate data
3. A unique pipeline design that allows real-time two-way interaction with data and makes multivariate & exploratory data analysis a breeze
4. Interactive data visualization, a rich variety of graph types, and over 240 styles of data representation
5. Thematic mapping and related importers & map projection utilities
6. Native worksheets providing numerous data management tools, a formula editor, and other utilities
7. Multidimensional data filtering comparable to a database search
8. 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

TotalView 8.7.0 is a program useful for applications written for simulation and modeling, special effects, finance, telecommunications, scientific analysis, animation, biotechnology and many other fields. Etnus TotalView leverages more than 19 years of continuous product development to maintain its clear leadership position.

Available on Linux, UNIX and Mac OS X, TotalView supports threads, MPI, OpenMP, C/C++, and Fortran, plus mixed-language codes. Advanced features like on-demand memory leak detection, other heap allocation debugging features, and Standard Template Library Viewer (STLView) are not found in average debuggers, and make debugging a breeze. Unique features like dive, a wide variety of breakpoints, the Message Queue Graph/Visualizer, powerful data analysis, and control at the thread level give you the power you need to solve tough problems.

brainypdm is a system performance data management and monitoring tool. brainypdm gather performance data from nagios or generic source for make custom graphs, reports and "brainy" analysis. Its developed in Java 1.5

System requirements:
- Java

Madagascar is an open-source software package for multidimensional data analysis and reproducible computational experiments.
Madagascar aims to provide:
- a convenient and powerful environment
- a convenient technology transfer tool
for researchers working with digital image and data processing in geophysics and related fields. Technology developed using the Madagascar project management system is transferred in the form of recorded processing histories, which become "computational recipes" to be verified, exchanged, and modified by users of the system.

Main features:
- Madagascar is a modern package. Started in 2003, and publicly released in 2006 it was developed entirely from scratch. Being a relatively new package, it follows modern software engineering practices such as module encapsulation and test-driven development. A rapid development of a project of this scope (more than 300 main programs and more than 3,000 tests) would not be possible without standing on the shoulders of giants and learning from the 30 years of previous experience in open packages such as SEPlib and Seismic Unix. We have borrowed and reimplemented functionality and ideas from these other packages.
- Madagascar is a test-driven package. Test-driven development is not only an agile software programming practice but also a way of bringing scientific foundation to geophysical research that involves numerical experiments. Bringing reproducibility and peer review, the backbone of any real science, to the field of computational geophysics is the main motivation for Madagascar development. The package consists of two levels: low-level main programs (typically developed in the C programming language and working as data filters) and high-level processing flows (described with the help of the Python programming language) that combine main programs and completely document data processing histories for testing and reproducibility. Experience shows that high-level programming is easily mastered even by beginning students that have no previous programming experience.
- Madagascar is an open-source package. It is distributed under the standard GPL open-source license, which places no restriction on the usage and modification of the code. Moreover, access to modifying the source repository is not controlled by one organization but shared equally among different developers. This enables an open collaboration among different groups spread all over the world, in the true spirit of the open source movement.
- Madagascar uses a simple, flexible, and universal data format that can handle very large datasets but is not tied specifically to seismic data or data of any other particular kind. This "regularly sampled" format is borrowed from the traditional SEPlib. A universal data format allows us to share general-purpose data processing tools with scientists from other disciplines such as petroleum engineers working on large-scale reservoir simulations.

System requirements:
-

Enhancements
- New reproducible papers, several structural changes, and numerous bug fixes.

Egonet is an open source application for the collection and analysis of egocentric network data.
Egonet will help you create the collect data, questionnaire, and provide general global network measures and data matrixes that can be used for further analysis by other software.

System requirements:
-

Enhancements
- New notes tab during an interview for taking notes about the task / respondent / etc
- New HTML support for questions; try "Some text in bold" and other formatting.
- New setting on a study that allows an interviews questions to be skipped at any time

jClust is an easy-to-use standalone application for clustering analysis. jClust comes with several supervised and unsupervised algorithms to cluster and group heterogeneous data.
jClust is a cross-platform tool that runs under any OS. The calculations take place locally at the users machine.

System requirements:
- Java 6 or later