List of statistical software

Statistical software are specialized computer programs for analysis in statistics and econometrics.

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
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
JASP – A free software alternative to IBM SPSS Statistics with additional option for Bayesian methods
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
JMulTi – For econometric analysis, specialised in univariate and multivariate time series analysis
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
OpenNN – A software library written in the programming language C++ which implements neural networks, a main area of deep learning research
OpenMx – A package for structural equation modeling running in R (programming language)
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
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

Freeware

BV4.1
GeoDA
MaxStat Lite – general statistical software
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
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 solution 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
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
MaxStat Pro – general statistical software
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
Neural Designer – commercial deep learning package
NCSS – general statistics package
NLOGIT – comprehensive statistics and econometrics package
NMath Stats – statistical package for .NET Framework
nQuery Sample Size Software – Sample Size and Power Analysis Software[1]
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
SAS (software) – comprehensive statistical package
SHAZAM (Econometrics and Statistics Software) – comprehensive econometrics and statistics package
Simul – econometric tool for multidimensional (multi-sectoral, multi-regional) modeling
SigmaStat – package for group analysis
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
Statgraphics – general statistics package to include cloud computing and Six Sigma for use in business development, process improvement, data visualization and statistical analysis, design of experiment, point processes, geospatial analysis, regression, and time series analysis are all included within this complete statistical 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
Systat – general statistics package
SuperCROSS – comprehensive statistics package with ad-hoc, cross tabulation analysis
S-PLUS – general statistics package
Unistat – general statistics package that can also work as Excel add-in
The Unscrambler – free-to-try commercial multivariate analysis software for Windows
WarpPLS – statistics package used in structural equation modeling
Wolfram Language[2] – 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 in a single user program.
XploRe

Add-ons

Analyse-it – add-on to Microsoft Excel for statistical analysis
SigmaXL – add-on to Microsoft Excel for statistical and graphical 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

References

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: 4–9. doi:10.1093/ejcts/ezy169. PMC 6005113.
Wolfram Language Guide: Statistical Data Analysis

External links

Statistics software at Curlie

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[1] 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: 4–9. doi:10.1093/ejcts/ezy169. PMC 6005113.

[2] Wolfram Language Guide: Statistical Data Analysis