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  • Anaconda is a free Python distribtion from Continuum Analytics.  It is optimized to run cross-platform.  It comes built in with various scientific

  • Bioconductor is an open source and open development software project to provide tools for the analysis and comprehension of genomic data.

  • Grace is a tool for 2-D plots. It is derived from Xmgr.

  • Graphviz is a free and open source graphing application.  It takes the description of graphs in text format and creates images, so that it can be embedded in presentations, papers etc.

  • JMP

    JMP is a statistical discovery software. It is the SAS product designed for dynamic data visualization on the desktop. It links statistics with graphics and makes users data accessible easily in many ways.

  • LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.
     
  • Matlab is a high level technical computing language and interactive environment for data visualization, data analysis, numerical computation, and algorithm development.

  • Octave (a.k.a GNU Octave) is a open source computational software built to be compatible with Matlab.

  • R

    R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

  • The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficient w

  • SAS

    SAS is a scalable, integrated software environment and a flexible and extensible programming language designed for data access, data manipulation, and data analysis. It offers data management and predictive analytic capabilities, data mining process, drug discovery solutions, and much more.

  • Stata is an integrated statistical package that provides extensive functionality for data analysis, data management, and graphics.

  • With S+, statisticians and statistical programmers can apply, prototype and deploy statistical models and predictive analytics up to five times faster than with competing modeling environments.