List of statistical software
Open-source
    

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[1]
 - 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.)
 - statsmodels – extends SciPy with statistical models and tests (regression, plotting, example datasets, generalized linear model (GLM), time series analysis, autoregressive–moving-average model (ARMA), vector autoregression (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 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[2] and the help system under GPL version 3[3])
 - Dataplot (NIST)
 - X-13ARIMA-SEATS (public domain in the United States only; outside of the United States is under US government copyright)[4]
 
Freeware
    
    
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[6]
 - 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[7] – 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
 
See also
    
- Comparison of statistical packages
 - Free statistical software
 - List of computer algebra systems
 - List of information graphics software
 - List of numerical libraries
 - List of numerical-analysis software
 - Mathematical software
 - Psychometric software
 
References
    
- "Epi-Info/Epi-Info-Community-Edition". GitHub. Retrieved 2021-05-14.
 - "csweb ZIP file".
 - "Helps". GitHub. 28 September 2021.
 - "US Census Bureau - X-13ARIMA-SEATS - License Information and Disclaimer". www.census.gov. Retrieved 2021-05-14.
 - "Phitter". 2023-10-03.
 - Hickey, Graeme L.; Grant, Stuart W.; Dunning, Joel; Siepe, Matthias (2018). "Statistical primer: Sample size and power calculations—why, when and how?†". European Journal of Cardio-Thoracic Surgery. 54 (1): 4–9. doi:10.1093/ejcts/ezy169. PMC 6005113. PMID 29757369.
 - "Statistical Data Analysis—Wolfram Language Documentation". reference.wolfram.com.
 
External links
    
    
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