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Statistical software are specialized computer programs for statistical analysis.
Open source statistical packages [ edit ]
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.
Bayesian Filtering Library
Chronux – for neurobiological time series data
CBEcon – web-based econometrics and statistical software
DAP – A free replacement for SAS dotplot -
statistical analysis software including data visualization features [1 ]
ELKI a software framework for development of data mining algorithms in Java.
Fityk – nonlinear regression software (GUI and command line)
gretl – gnu regression, econometrics and time-series Library
intrinsic Noise Analyzer (iNA) – analysis of intrinsic fluctuations in biochemical systems
JAGS – Just another Gibbs sampler (JAGS) is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) developed by Martyn Plummer. It is similar to WinBUGS.
LIBSVM and LIBLINEAR, C++ support vector machine libraries
MLPACK is an open-source library for machine learning, exploiting C++ language features to provide maximum performance and flexibility while providing a simple and consistent API
Mondrian (software) - data analysis tool using interactive statistical graphics with a link to R.
Octave – programming language (very similar to Matlab) with statistical features
OpenNN – A software library for neural networks written in the C++ programming language.
OpenMx – A package for Structural equation modeling running in R.
Orange, a machine learning and bioinformatics software
Pandas – 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 – A free implementation of the S language.
pbdR - "Programming with Big Data in R" is 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
RStudio – GUI interface and development environment for R
RapidMiner, a machine learning toolbox
Revolution Analytics – Production-grade software for the enterprise big data analytics
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
SCaViS – Java-based statistical analysis framework for scientists and engineers. It includes an advanced IDE and Jython shell.
Scilab – uses GPL compatible CeCILL license
SciPy (a Python library for scientific computing) 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,
GLM, time series analysis, ARMA, VAR, Non-parametric statistics, ANOVA, empirical likelihood)
Shogun, an 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
SOFA Statistics – a 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’s 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
STK++ - A Statistical Toolkit framework in C++ with focus on classification, clustering, regression, etc.
Torch is a deep learning software library written in Lua
Weka is also a suite of machine learning software written at the University of Waikato.
Public domain statistical packages [ edit ]
Freeware statistical packages [ edit ]
Proprietary statistical packages [ edit ]
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
Data Applied – for building statistical models
EViews – for econometric analysis
FAME – a system for managing time series statistics and time series databases
GAUSS – programming language for statistics
Genedata Analyst– 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 lots of guidance and explanations
GraphPad Prism – Biostatistics and nonlinear regression with clear explanations
IBM SPSS Statistics – comprehensive statistics package
IBM SPSS Modeler – comprehensive data mining and text analytics workbench
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 – programming language with statistical features
MATLAB – programming language with statistical features
MedCalc – for biomedical sciences
Minitab – general statistics package
MLwiN – multilevel models (free to UK academics)
NAG Library - comprehensive math and statistics library
NCSS – general statistics package
NLOGIT - comprehensive statistics and econometrics package
NMath Stats – statistical package for .NET Framework
O-Matrix – programming language
OriginPro – statistics and graphing, programming access to NAG library
Partek – general statistics package with specific applications for genomic, HTS, and QSAR data.
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
Quantum – part of the SPSS MR product line, mostly for data validation and tabulation in Marketing and Opinion Research
RATS – comprehensive econometric analysis package
SAS – comprehensive statistical package
SHAZAM – comprehensive econometrics and statistics package
Simul - econometric tool for multidimensional (multi-sectoral, multi-regional) modelling
SigmaStat – for group analysis
SOCR – online tools for teaching statistics and probability theory
Speakeasy – numerical computational environment and programming language with many statistical and econometric analysis features
SPSS - Statistical Package for the Social Sciences
Stata – comprehensive statistics package
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
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)
World Programming System (WPS) - statistical package that supports the SAS language
Statistical add-ons [ edit ]
See also [ edit ]
References [ edit ]
^ "dotplot designer - Official Website" . Retrieved 31 March 2014.
External links [ edit ]