List of statistical software

• 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 GUI and library for R
• 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
• LabPlot, A free and open-source, cross-platform computer program for interactive scientific plotting, curve fitting, nonlinear regression, data processing and data analysis
• 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

• 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)

• BV4.1
• GeoDA
• MINUIT
• WinBUGS, Bayesian analysis using Markov chain Monte Carlo methods
• Winpepi, package of statistical programs for epidemiologists

• 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, online statistical software
• 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)
• 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
• 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
• 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