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
  • 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[5]
  • 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[6] – 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

See also

References
  1. "Epi-Info/Epi-Info-Community-Edition". GitHub. Retrieved 2021-05-14.
  2. "csweb ZIP file".
  3. "Helps". GitHub. 28 September 2021.
  4. "US Census Bureau - X-13ARIMA-SEATS - License Information and Disclaimer". www.census.gov. Retrieved 2021-05-14.
  5. 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.
  6. "Statistical Data Analysis—Wolfram Language Documentation". reference.wolfram.com.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.