iMacros was designed to automate the most repetitious tasks on the web. With iMacros, you can quickly fill out web forms, remember passwords, create a webmail notifier, download information from other sites, scrape the Web (get data from multiple sites), and more. You can keep the macros on your computer for your own use, or share them with others by embedding them on your homepage, blog, company Intranet or any social bookmarking service.
The IMSL Numerical Libraries provide a wide variety of mathematical and statistical algorithms written in various programming languages for easy incorporation by programmers. There are libraries for C, Fortran, Java, .NET, and Python (through wrappers). These algorithms are not only useful for desktop applications, but also can be applied to High Performance Computing (HPC) and High Throughput Computing (HTC).
Interactive Data Language (IDL) is a high-level language for data manipulation, visualization and analysis. IDL has strong signal and image processing capabilities and extensive math and statistical functions. There is extensive web support with hundreds of freely available applications from a large userbase. IDL includes mapping tools and direct access to standard databases. The IDL development environment requires minimal programming skills.
JMP is a desktop software package designed by SAS for dynamic data visualization and statistical data exploration. JMP includes an interactive graph builder that supports a wide variety of two- and three-dimensional graph types, and statisical reports are displayed along with plots for assessment and interpretation. Data can be loaded into JMP from common desktop file formats (e.g.
Minitab 16 is commercial software for data analysis, graphing, and statistics. It is interactive and menu-driven, and users are guided through the data analysis process according to "assistant" dialog boxes. The software can be used to run basic statistics including parametric regression and analysis of variance, survival analysis, and a limited number of multivariate analysis.
OpenBUGS is software for running Markov Chain Monte Carlo (MCMC) simulations following Bayesian statistical theory. It is one of two software packages created for Bayesian Inference Using Gibbs Sampling, or BUGS. OpenBUGS is so named because it runs on multiple operating systems; the WinBUGS software can be used with Windows operating systems (see WinBUGS tool in the DataONEpedia for details).
Oriana is a tool for calculating statistics for circular or radial data (angles or directions measured in degrees, time of day, day of week, month of year, etc.). It can be used for orientation data (direction taken from a point), for describing and comparing species temporal distributions and ranges, and other types of data that are not directly handled in most statistics packages.
OriginPro is an expanded version of Origin, both of which are software for data management, statistics, and graphics. OriginPro is point-and-click interactive software and uses multiple windows to manage data and run analyses. A variety of graphics can be created using a graph editor and exported for incorporation with the Microsoft Office suite. Data management is done through worksheets bundled into project management files.
PSPP is a program for statistical analysis of sampled data, and is a free replacement for the proprietary program SPSS. PSPP can perform descriptive statistics, T-tests, linear regression and non-parametric tests. Its back-end is designed to perform its analyses as fast as possible, regardless of the size of the input data. You can use PSPP with its graphical interface or the more traditional syntax commands.
R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
S-PLUS is a commercial implementation of the S statistical programming language with a publication-quality graphics package and a matrix-based programming language. It provides the ability to analyze gigabyte class data sets on the desktop, and a package system for deployment of analytics.
The R programming language is an open-source implementation of the S statistical programming language.
SAS is an integrated system of software that enables everything from data access across multiple sources to complex manipulations of data files to performance of sophisticated statistical analyses and data visualizations. Three of SAS' most popular software products that are commonly used by ecologists are Base SAS, SAS/STAT, and SAS/GRAPH. SAS is available for Windows and UNIX platforms.
SAS Enterprise Miner streamlines the data mining process to create predictive and descriptive models based on analysis of large amounts of data. Data can be accessed from local files or from remote database connections. SAS data mining software uses a point-and-click interactive interface to create workflows and analysis diagrams, and then execute them. SAS Miner can transform and manipulate data using filters and statistical analyses to extract desired data from large datasets.
SPYDER is a free software environment for visualization, numerical calculation, and data analysis. It provides a graphical development environment for the Python programming language and leverages many scientific and engineering packages including Matplotlib, NumPy and others. It is available on Windows, Mac OS X, and GNU/Linux.
SigmaPlot is a commercial software package primarily used for data analysis and publication-quality visualization. Data can be input directly into a table or imported from basic ascii or Microsoft Excel files. Data summarization (e.g., mean, sum) and analysis tools (e.g., parametric and non-parametric statistics, regression, and correlation) operate on the data at a click of the mouse.
Spotfire Miner is software for data mining of large datasets. It is sold commerically by TIBCO.
Users can connect to remote or local datasets, apply statistical and methodological filters, clean and transform the data, and finally apply a model to produce the desired mined data. Statistical models include clustering, regression analysis, and principal components analysis. Models based on historical data can then be used to predict future results based on newly mined data.
SPSS is a desktop statistical software package that is centered around modeling and statistics. SPSS can access data from many different proprietary and open source data sets and has decent graphing and very good statistical modeling capabilities. One weakness (Up to version 17), is the presentation quality of graphs. Other packages do a much better job at data presentation.
IBM SPSS Amos is a tool used for structural equation modeling. It features drag-and-drop drawing tools and produces graphics of final models for presentation.
Amos uses standard methods – including regression, factor analysis, correlation and analysis of variance. It can be used to create models to test hypotheses and confirm relationships amongst variables.
Stata 11 is software for data management, statistics, and graphics. Stata uses point-and-click interaction and help to guide users through tasks. Logs can be created and stored as repeatable scripts, so that data management and analysis are completely documented.
STATISTICA is a proprietary analytical software package developed by StatSoft that includes data visualization, data analysis, data management, and data mining tools. It is a primarily graphical user interface (GUI) application.
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox and data assimilation system that synthesizes information contained in ecological models, data, and expert knowledge. This is done using modern statistical methods and state-of-the art ecosystem models. PEcAn has a web interface that enables users to run ecosystem models, as well as a suite of R packages that can be used for model-data fusion and more sophisticated analysis.
TMI-Orion is a manufacturer of data sensors and data loggers. They have custom software called QLEVER to configure, test, record data and perform basic statistics on the data streams resulting from the sensors. The software can manage the sensors (in some cases remotely), and evaluate sensor battery life and technical performance.
WinBUGS is software for running Markov Chain Monte Carlo (MCMC) simulations following Bayesian statistical theory. It is one of two software packages created for Bayesian Inference Using Gibbs Sampling, or BUGS. WinBUGS is so named because it runs on windows operating systems; the OpenBUGS software can be used on other operating systems (see OpenBUGS entry).