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Wolfram Mathematica is a software system with built-in libraries for several areas of technical computing that allows machine learning, statistics, symbolic computation, data manipulation, network analysis, time series analysis, NLP, optimization, plotting functions and various types of data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in ...
Free GPL: Also a computer algebra system through interface with Maxima: Fityk: Marcin Wojdyr 2002 1.3.1 19 December 2016: $115 (1.x binaries), Free (source code and 0.x binaries) GPL: interactive graphics, scriptable, specialized in curve fitting and peak fitting, 2D only FlexPro: Weisang GmbH n/a 1991 2019 (12.0.x) 2018 Not free (commercial ...
Statistica is a suite of analytics software originally developed by StatSoft and acquired by Dell in March 2014. The software includes an array of data analysis, data management, data visualization, and data mining procedures; as well as a variety of predictive modeling, clustering, classification, and exploratory techniques. [2]
Mathematica: Wolfram Research 14.2.0 (January 23, 2025; 0 days ago (2] No Proprietary: CLI, GUI: C, Mathematica Wolfram Language MATLAB: MathWorks R2020b (17 September 2020 ()) No Proprietary: CLI, GUI: C++, Java, MATLAB MedCalc: MedCalc Software Ltd 22 (12 May 2023 ()) No Proprietary: GUI: MedCalc script Minitab
Stata (/ ˈ s t eɪ t ə /, [2] STAY-ta, alternatively / ˈ s t æ t ə /, occasionally stylized as STATA [3] [4]) is a general-purpose statistical software package developed by StataCorp for data manipulation, visualization, statistics, and automated reporting.
R is a programming language for statistical computing and data visualization.It has been adopted in the fields of data mining, bioinformatics and data analysis. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.
Products, services, and subsidiaries have been offered from International Business Machines (IBM) Corporation and its predecessor corporations since the 1890s. [1] This list comprises those offerings and is eclectic; it includes, for example, the AN/FSQ-7, which was not a product in the sense of offered for sale, but was a product in the sense of manufactured—produced by the labor of IBM.
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing.. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified.