# List of statistical software

The following is a 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
* 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

## 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

## 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 – 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)
* 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
* 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