List of statistical software

Statistical software are specialized computer programs for statistical analysis and econometric analysis.

Open-source statistical packages

gretl is an example of an open-source statistical package

• ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management
• ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation
• Bayesian Filtering Library
• Chronux – for neurobiological time series data
• CBEcon – web-based econometrics and statistical software
• DAP (software) – free replacement for SAS
• ELKI a software framework for development of data mining algorithms in Java.
• Fityk – nonlinear regression software (GUI and command line)
• GNU Octave – programming language very similar to MATLAB with statistical features
• gretl – gnu regression, econometrics and time-series library
• intrinsic Noise Analyzer (iNA) – analysis of intrinsic fluctuations in biochemical systems
• Just another Gibbs sampler (JAGS) – a program for analysis of Bayesian hierarchical models using Markov chain Monte Carlo developed by Martyn Plummer. It is similar to WinBUGS.
• JMulTi
• LIBSVM – C++ support vector machine libraries
• MLPACK (C++ library) – open-source library for machine learning, exploiting C++ language features to provide maximum performance and flexibility while providing a simple and consistent API
• Mondrian (software) – data analysis tool using interactive statistical graphics with a link to R.
• Neurophysiological Biomarker Toolbox - Matlab toolbox for data-mining of neurophysiological biomarkers.
• OpenBUGS
• OpenEpi – A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and HTML
• OpenNN – A software library for neural networks written in the C++ programming language.
• OpenMx – A package for structural equation modeling running in R (programming language).
• Orange (software), a machine learning and bioinformatics software
• Pandas (software) – HPC data structures and data analysis tools for Python in Python and Cython (statsmodels, scikit-learn)
• Perl Data Language – Scientific computing with Perl
• Ploticus – software for generating a variety of graphs from raw data
• PSPP – A free software alternative to IBM SPSS Statistics
• R (programming language) – free implementation of the S (programming language)
  • Programming with Big Data in R (pbdR) - a series of R (programming language) packages enhanced by SPMD parallelism for big data analysis
  • R Commander – GUI interface for R
  • Rattle GUI – GUI interface for R
  • RStudio – GUI interface and development environment for R
• RapidMiner – machine learning toolbox
• Revolution Analytics – production-grade software for the enterprise big data analytics
• ROOT – an open-source C++ system for data storage, processing and analysis, developed by CERN and used to find the Higgs boson
• Salstat - menu-driven statistics software
• SCaViS – Java-based statistical analysis framework for scientists and engineers. It includes an advanced IDE and Jython shell
• Scilab – uses GPL-compatible CeCILL license
• SciPy – Python library for scientific computing that contains the stats sub-package which is partly based on the venerable |STAT (a.k.a. PipeStat, formerly UNIX|STAT) software
  • scikit-learn - extends SciPy with a host of machine learning models (classification, clustering, regression, etc.)
  • statsmodels - extends SciPy with statistical models and tests (regression, plotting, example datasets, GLM, time series analysis, ARMA, VAR, Non-parametric statistics, ANOVA, empirical likelihood)
• Shogun (toolbox) – open-source, large-scale machine learning toolbox that provides several SVM (Support Vector Machine) implementations (like libSVM, SVMlight) under a common framework and interfaces to Octave, MATLAB, Python, R
• Simfit – simulation, curve fitting, statistics, and plotting
• SOCR
• SOFA Statistics – desktop GUI program focused on ease of use, learn as you go, and beautiful output.
• Stan (software) – open-source package for obtaining Bayesian inference using the No-U-Turn sampler, a variant of Hamiltonian Monte Carlo. It’s somewhat like BUGS, but with a different language for expressing models and a different sampler for sampling from their posteriors.
• Statistical Lab – R-based and focusing on educational purposes
• Torch (machine learning) – a deep learning software library written in Lua (programming language)
• Weka (machine learning) – a suite of machine learning software written at the University of Waikato
• Xlisp-stat

In the public domain

• CSPro
• Epi Info
• X-12-ARIMA

Freeware

• BV4.1
• GeoDA
• IDAMS/WinIDAMS
• MINUIT
• Statistics101 – Resampling, Bootstrap, Monte Carlo Simulation program. Written in Java to run on any operating system.
• WinBUGS – Bayesian analysis using Markov chain Monte Carlo methods
• Winpepi – package of statistical programs for epidemiologists

Proprietary statistical packages

• Analytica - visual analytics and statistics package
• Angoss - products KnowledgeSEEKER and KnowledgeSTUDIO incorporate several data mining algorithms
• ASReml – for restricted maximum likelihood analyses
• BMDP – general statistics package
• Data Applied – for building statistical models
• DB Lytix - 800+ in-database models
• EViews – for econometric analysis
• FAME (database) – a system for managing time-series databases
• GAUSS – programming language for statistics
• Genedata – software solution for integration and interpretation of experimental data in the life science R&D
• GenStat – general statistics package
• GLIM (software) – early package for fitting generalized linear models
• GraphPad InStat – very simple with lots of guidance and explanations
• GraphPad Prism – Biostatistics and nonlinear regression with clear explanations
• IMSL Numerical Libraries – software library with statistical algorithms
• JMP (application software) – visual analysis and statistics package
• LIMDEP – comprehensive statistics and econometrics package
• LISREL – statistics package used in structural equation modeling
• Maple – programming language with statistical features
• Mathematica – programming language with statistical features
• MATLAB – programming language with statistical features
• MedCalc – for biomedical sciences
• Minitab – general statistics package
• MLwiN – multilevel models (free to UK academics)
• NAG Numerical Library – comprehensive math and statistics library
• NCSS – general statistics package
• NLOGIT – comprehensive statistics and econometrics package
• NMath Stats – statistical package for .NET Framework
• O-Matrix – programming language
• OriginPro – statistics and graphing, programming access to NAG library
• Partek – general statistics package with specific applications for genomic, HTS, and QSAR data.
• Plotly – Plotting library and styling interface for analyzing data and creating browser-based graphs. Available for R, Python, MATLAB, Julia, and Perl.
• Primer-E Primer – environmental and ecological specific.
• PV-WAVE – programming language comprehensive data analysis and visualization with IMSL statistical package
• Qlucore Omics Explorer - interactive and visual data analysis software
• Quantum Programming Language – part of the SPSS MR product line, mostly for data validation and tabulation in Marketing and Opinion Research
• Regression Analysis of Time Series (RATS) – comprehensive econometric analysis package
• SAS (software) – comprehensive statistical package
• SHAZAM (Econometrics and Statistics Software) – comprehensive econometrics and statistics package
• Simul - econometric tool for multidimensional (multi-sectoral, multi-regional) modeling
• SigmaStat – for group analysis
• SmartPLS - statistics package used in structural equation modeling
• SOCR – online tools for teaching statistics and probability theory
• Speakeasy (computational environment) – numerical computational environment and programming language with many statistical and econometric analysis features
• SPSS – comprehensive statistics package that stands for "Statistical Package for the Social Sciences"
  • SPSS Modeler – comprehensive data mining and text analytics workbench
• Stata – comprehensive statistics package
• Statgraphics – general statistics package
• STATISTICA – comprehensive statistics package
• StatsDirect – statistics package designed for biomedical, public health and general health science uses
• StatXact – package for exact nonparametric and parametric statistics
• Systat – general statistics package
• SuperCROSS comprehensive statistics package with ad-hoc, cross tabulation analysis
• S-PLUS – general statistics package
• Unistat – general statistics package that can also work as Excel add-in
• The Unscrambler (free-to-try commercial multivariate analysis software for Windows)
• World Programming System (WPS) – statistical package that supports the SAS language
• XploRe

Statistical add-ons

• Analyse-it – add-on to Microsoft Excel for statistical analysis
• NumXL – add-on to Microsoft Excel for statistical and time series analysis
• SigmaXL – add-on to Microsoft Excel for statistical and graphical analysis
• SPC XL – add-on to Microsoft Excel for general statistics
• Stats Helper – add-on to Microsoft Excel for descriptive statistics and Six Sigma
• SUDAAN – add-on to SAS and SPSS for statistical survey
• Total Access Statistics - add-on to Microsoft Access for descriptive, non-parametric, group, and financial statistical analysis
• XLfit add-on to Microsoft Excel for curve fitting and statistical analysis

See also

• Comparison of statistical packages
• Econometric software
• Free statistical software
• List of computer algebra systems
• List of graphing software
• List of numerical analysis software
• List of numerical libraries
• Mathematical software
• Psychometric software

External links

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