List of statistical software

{{Short description|none}} The following is a list of statistical software.

==Open-source== [[Image:Gretl screenshot.png|thumb|250px|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 * 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<ref>{{Cite web |title=Epi-Info/Epi-Info-Community-Edition |url=https://github.com/Epi-Info/Epi-Info-Community-Edition |access-date=2021-05-14 |website=GitHub |language=en}}</ref> * 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

==Public domain== * CSPro (core is public domain but without publicly available source code; the web UI has been open sourced under Apache version 2<ref>{{Cite web |title=csweb ZIP file |url=https://www2.census.gov/software/cspro/download/csweb.zip}}</ref> and the help system under GPL version 3<ref>{{Cite web |date=28 September 2021 |title=Helps |url=https://github.com/CSProDevelopment/helps |website=GitHub}}</ref>) * Dataplot (NIST) * X-13ARIMA-SEATS (public domain in the United States only; outside of the United States is under US government copyright)<ref>{{Cite web |title=US Census Bureau - X-13ARIMA-SEATS - License Information and Disclaimer |url=https://www.census.gov/srd/www/disclaimer.html |access-date=2021-05-14 |website=www.census.gov |language=EN-US}}</ref>

==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) * 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<ref>{{Cite journal |last=Hickey |first=Graeme L. |last2=Grant |first2=Stuart W. |last3=Dunning |first3=Joel |last4=Siepe |first4=Matthias |year=2018 |title=Statistical primer: Sample size and power calculations—why, when and how?† |journal=European Journal of Cardio-Thoracic Surgery |volume=54 |issue=1 |pages=4–9 |doi=10.1093/ejcts/ezy169 |pmc=6005113 |pmid=29757369}}</ref> * 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<ref>{{Cite web |title=Statistical Data Analysis—Wolfram Language Documentation |url=https://reference.wolfram.com/language/guide/Statistics.html.en |website=reference.wolfram.com}}</ref> – 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

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Statistical packages Category:Statistical software Software