List of statistical software

Open-source

 * 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
 * Chronux – for neurobiological time series data
 * DAP – free replacement for SAS
 * Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI) a software framework for developing data mining algorithms in Java
 * Epi Info – statistical software for epidemiology developed by Centers for Disease Control and Prevention (CDC). Apache 2 licensed
 * 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) – For analyzing intrinsic fluctuations in biochemical systems
 * jamovi – A free software alternative to IBM SPSS Statistics
 * JASP – A free software alternative to IBM SPSS Statistics with additional option for Bayesian methods
 * JMulTi – For econometric analysis, specialised in univariate and multivariate time series analysis
 * Just another Gibbs sampler (JAGS) – a program for analyzing Bayesian hierarchical models using Markov chain Monte Carlo developed by Martyn Plummer. It is similar to WinBUGS
 * KNIME – An open source analytics platform built with Java and Eclipse using modular data pipeline workflows
 * LIBSVM – C++ support vector machine libraries
 * mlpack – open-source library for machine learning, exploits C++ language features to provide maximum performance and flexibility while providing a simple and consistent application programming interface (API)
 * Mondrian – 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
 * OpenMx – A package for structural equation modeling running in R (programming language)
 * OpenNN – A software library written in the programming language C++ which implements neural networks, a main area of deep learning research
 * Orange, a data mining, machine learning, and bioinformatics software
 * Pandas – High-performance computing (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 – free implementation of the S (programming language)
 * Programming with Big Data in R (pbdR) – a series of R packages enhanced by SPMD parallelism for big data analysis
 * R Commander – GUI interface for R
 * Rattle GUI – GUI interface for R
 * Revolution Analytics – production-grade software for the enterprise big data analytics
 * RStudio – GUI interface and development environment for R
 * 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
 * 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.)
 * 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 is 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
 * TOPCAT (software) – interactive graphical analysis and manipulation package for astronomers that understands FITS, VOTable and CDF formats.
 * 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

Public domain

 * CSPro (core is public domain but without publicly available source code; the web UI has been open sourced under Apache version 2 and the help system under GPL version 3 )
 * Dataplot (NIST)
 * X-13ARIMA-SEATS (public domain in the United States only; outside of the United States is under US government copyright)

Freeware

 * BV4.1
 * GeoDA
 * MINUIT
 * WinBUGS – Bayesian analysis using Markov chain Monte Carlo methods
 * Winpepi – package of statistical programs for epidemiologists
 * Phitter: distribution-fitting online software.

Proprietary

 * Alteryx – analytics platform with drag and drop statistical models; R and Python integration
 * 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
 * DataGraph – visual analysis with linear and nonlinear regression
 * 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 for integration and interpretation of experimental data in the life science R&D
 * GenStat – general statistics package
 * GLIM – early package for fitting generalized linear models
 * GraphPad InStat – very simple with much guidance and explanations
 * GraphPad Prism – biostatistics and nonlinear regression with clear explanations
 * Igor Pro - programming language with statistical features and numerical analysis
 * IMSL Numerical Libraries – software library with statistical algorithms
 * JMP – 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 – a software package with statistical particularly ŋ features
 * MATLAB – programming language with statistical features
 * MedCalc – for biomedical sciences
 * Microfit – econometrics package, time series
 * Minitab – general statistics package
 * MLwiN – multilevel models (free to UK academics)
 * Nacsport Video Analysis Software – software for analysing sports and obtaining statistical intelligence
 * NAG Numerical Library – comprehensive math and statistics library
 * NCSS – general statistics package
 * Neural Designer – commercial deep learning package
 * NLOGIT – comprehensive statistics and econometrics package
 * nQuery Sample Size Software – Sample Size and Power Analysis Software
 * O-Matrix – programming language
 * OriginPro – statistics and graphing, programming access to NAG library
 * PASS Sample Size Software (PASS) – power and sample size software from NCSS
 * 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
 * RapidMiner – machine learning toolbox
 * Regression Analysis of Time Series (RATS) – comprehensive econometric analysis package
 * Rguroo Statistical Software - An online statistical software designed for teaching and analyzing data
 * S-PLUS – general statistics package
 * SAS (software) – comprehensive statistical package
 * SHAZAM (Econometrics and Statistics Software) – comprehensive econometrics and statistics package
 * SigmaStat – package for group analysis
 * Simul – econometric tool for multidimensional (multi-sectoral, multi-regional) modeling
 * SmartPLS – statistics package used in partial least squares path modeling (PLS) and PLS-based 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 Modeler – comprehensive data mining and text analytics workbench
 * SPSS Statistics – comprehensive statistics package
 * Stata – comprehensive statistics package
 * StatCrunch – comprehensive statistics package, originally designed for college statistics courses
 * 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
 * SuperCROSS – comprehensive statistics package with ad-hoc, cross tabulation analysis
 * Systat – general statistics package
 * The Unscrambler – free-to-try commercial multivariate analysis software for Windows
 * Unistat – general statistics package that can also work as Excel add-in
 * WarpPLS – statistics package used in structural equation modeling
 * Wolfram Language – the computer language that evolved from the program Mathematica. It has similar statistical capabilities as Mathematica.
 * World Programming System (WPS) – statistical package that supports the use of Python, R and SAS languages within a single user program.
 * XploRe

Add-ons

 * Analyse-it – add-on to Microsoft Excel for statistical analysis
 * Statgraphics Sigma Express – add-on to Microsoft Excel for Six Sigma statistical analysis
 * SUDAAN – add-on to SAS and SPSS for statistical surveys
 * XLfit add-on to Microsoft Excel for curve fitting and statistical analysis