Open-source
- 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 GUI and library for R
- 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
- LabPlot – A free and open-source, cross-platform computer program for interactive scientific plotting, curve fitting, nonlinear regression, data processing and data analysis
- 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.)
- 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
