List of statistical software
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The following is a list of statistical software.
Contents
β’ Open-source
β’ Public domain
β’ Freeware
β’ Proprietary
β’ Add-ons
β’ See also
β’ References
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Open-source
β’ ADaMSoft β a generalized statistical software with data mining algorithms and methods for data management
β’ ADMB β a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation
β’ Chronux β for neurobiological time series data
β’ DAP β free replacement for SAS
β’ Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI) a software framework for developing data mining algorithms in Java
β’ Epi Info β statistical software for epidemiology developed by Centers for Disease Control and Prevention (CDC). Apache 2 licensedcite-ref-1[1]
β’ Fityk β nonlinear regression software (GUI and command line)
β’ GNU Octave β programming language very similar to MATLAB with statistical features
β’ gretl β gnu regression, econometrics and time-series library
β’ intrinsic Noise Analyzer (iNA) β For analyzing intrinsic fluctuations in biochemical systems
β’ JMulTi β For econometric analysis, specialised in univariate and multivariate time series analysis
β’ Just another Gibbs sampler (JAGS) β a program for analyzing Bayesian hierarchical models using Markov chain Monte Carlo developed by Martyn Plummer. It is similar to WinBUGS
β’ LabPlot β A free and open-source, cross-platform computer program for interactive scientific plotting, curve fitting, nonlinear regression, data processing and data analysis
β’ LIBSVM β C++ support vector machine libraries
β’ mlpack β 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)
β’ Neurophysiological Biomarker Toolbox β Matlab toolbox for data-mining of neurophysiological biomarkers
β’ OpenBUGS
β’ OpenEpi β A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and HTML
β’ OpenNN β A software library written in the programming language C++ which implements neural networks, a main area of deep learning research
β’ Pandas β High-performance computing (HPC) data structures and data analysis tools for Python in Python and Cython (statsmodels, scikit-learn)
β’ Perl Data Language β Scientific computing with Perl
β’ Ploticus β software for generating a variety of graphs from raw data
β’ Programming with Big Data in R (pbdR) β a series of R packages enhanced by SPMD parallelism for big data analysis
β’ R Commander β GUI interface for R
β’ Rattle GUI β GUI interface for R
β’ Revolution Analytics β production-grade software for the enterprise big data analytics
β’ RStudio β GUI interface and development environment for R
β’ ROOT β an open-source C++ system for data storage, processing and analysis, developed by CERN and used to find the Higgs boson
β’ Salstat β menu-driven statistics software
β’ scikit-learn β extends SciPy with a host of machine learning models (classification, clustering, regression, etc.)
β’ Shogun (toolbox) β 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
β’ Simfit β simulation, curve fitting, statistics, and plotting
β’ SOCR
β’ SOFA Statistics β desktop GUI program focused on ease of use, learn as you go, and beautiful output
β’ Stan (software) β 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
β’ Statistical Lab β R-based and focusing on educational purposes
β’ TOPCAT (software) β interactive graphical analysis and manipulation package for astronomers that understands FITS, VOTable and CDF formats.
β’ Torch (machine learning) β a deep learning software library written in Lua (programming language)
β’ Weka (machine learning) β a suite of machine learning software written at the University of Waikato
Public domain
β’ Dataplot (NIST)
β’ X-13ARIMA-SEATS (public domain in the United States only; outside of the United States is under US government copyright)cite-ref-4[4]
Freeware
Proprietary
β’ Alteryx β analytics platform with drag and drop statistical models; R and Python integration
β’ Analytica β visual analytics and statistics package
β’ Angoss β products KnowledgeSEEKER and KnowledgeSTUDIO incorporate several data mining algorithms
β’ ASReml β for restricted maximum likelihood analyses
β’ BMDP β general statistics package
β’ DataGraph β online statistical software
β’ DB Lytix β 800+ in-database models
β’ EViews β for econometric analysis
β’ FAME (database) β a system for managing time-series databases
β’ GAUSS β programming language for statistics
β’ Genedata β software for integration and interpretation of experimental data in the life science R&D
β’ GenStat β general statistics package
β’ GLIM β early package for fitting generalized linear models
β’ GraphPad InStat β very simple with much guidance and explanations
β’ GraphPad Prism β biostatistics and nonlinear regression with clear explanations
β’ Igor Pro - programming language with statistical features and numerical analysis
β’ IMSL Numerical Libraries β software library with statistical algorithms
β’ JMP β visual analysis and statistics package
β’ LIMDEP β comprehensive statistics and econometrics package
β’ LISREL β statistics package used in structural equation modeling
β’ Maple β programming language with statistical features
β’ Mathematica β a software package with statistical particularly Ε features
β’ MATLAB β programming language with statistical features
β’ MedCalc β for biomedical sciences
β’ Microfit β econometrics package, time series
β’ Minitab β general statistics package
β’ MLwiN β multilevel models (free to UK academics)
β’ Nacsport Video Analysis Software β software for analysing sports and obtaining statistical intelligence
β’ NAG Numerical Library β comprehensive math and statistics library
β’ NCSS β general statistics package
β’ Neural Designer β commercial deep learning package
β’ NLOGIT β comprehensive statistics and econometrics package
β’ nQuery Sample Size Software β Sample Size and Power Analysis Softwarecite-ref-5[5]
β’ O-Matrix β programming language
β’ OriginPro β statistics and graphing, programming access to NAG library
β’ PASS Sample Size Software (PASS) β power and sample size software from NCSS
β’ Primer-E Primer β environmental and ecological specific
β’ PV-WAVE β programming language comprehensive data analysis and visualization with IMSL statistical package
β’ Qlucore Omics Explorer β interactive and visual data analysis software
β’ RapidMiner β machine learning toolbox
β’ Regression Analysis of Time Series (RATS) β comprehensive econometric analysis package
β’ S-PLUS β general statistics package
β’ SAS (software) β comprehensive statistical package
β’ SHAZAM (Econometrics and Statistics Software) β comprehensive econometrics and statistics package
β’ SigmaStat β package for group analysis
β’ SIMUL β econometric tool for multidimensional (multi-sectoral, multi-regional) modeling
β’ SmartPLS β statistics package used in partial least squares path modeling (PLS) and PLS-based structural equation modeling
β’ Speakeasy (computational environment) β numerical computational environment and programming language with many statistical and econometric analysis features
β’ SPSS Modeler β comprehensive data mining and text analytics workbench
β’ SPSS Statistics β comprehensive statistics package
β’ Stata β comprehensive statistics package
β’ StatCrunch β comprehensive statistics package, originally designed for college statistics courses
β’ Statgraphics β general statistics package
β’ Statistica β comprehensive statistics package
β’ StatsDirect β statistics package designed for biomedical, public health and general health science uses
β’ StatXact β package for exact nonparametric and parametric statistics
β’ SuperCROSS β comprehensive statistics package with ad-hoc, cross tabulation analysis
β’ Systat β general statistics package
β’ The Unscrambler β free-to-try commercial multivariate analysis software for Windows
β’ WarpPLS β statistics package used in structural equation modeling
β’ Wolfram Languagecite-ref-6[6] β the computer language that evolved from the program Mathematica. It has similar statistical capabilities as Mathematica.
β’ World Programming System (WPS) β statistical package that supports the use of Python, R and SAS languages within a single user program.
β’ XploRe
Add-ons
β’ Analyse-it β add-on to Microsoft Excel for statistical analysis
β’ XLfit add-on to Microsoft Excel for curve fitting and statistical analysis
See also
References
cite-note-11. β "Epi-Info/Epi-Info-Community-Edition". GitHub. Retrieved 2021-05-14.
cite-note-22. β "csweb ZIP file".
cite-note-44. β "US Census Bureau - X-13ARIMA-SEATS - License Information and Disclaimer". www.census.gov. Retrieved 2021-05-14.
cite-note-55. β citerefhickeygrantdunningsiepe2018Hickey, Graeme L.; Grant, Stuart W.; Dunning, Joel; Siepe, Matthias (2018). "Statistical primer: Sample size and power calculationsβwhy, when and how?β ". European Journal of Cardio-Thoracic Surgery. 54 (1): 4β9. doi:10.1093/ejcts/ezy169. PMC 6005113. PMID 29757369.
cite-note-66. β "Statistical Data AnalysisβWolfram Language Documentation". reference.wolfram.com.