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  2. QLattice - Wikipedia

    en.wikipedia.org/wiki/QLattice

    The QLattice works with data in categorical and numeric format. It allows the user to quickly generate, plot and inspect mathematical formulae that can potentially explain the generating process of the data. It is designed for easy interaction with the researcher, allowing the user to guide the search based on their preexisting knowledge. [2] [6]

  3. List of finite element software packages - Wikipedia

    en.wikipedia.org/wiki/List_of_finite_element...

    Linux, Windows: DIANA FEA: General purpose finite element package utilised by civil, structural and geotechnical engineers. DIANA FEA BV, The Netherlands: 10.1: 2016-11-14: Proprietary commercial software: Paid: Windows, Linux: deal.II: Comprehensive set of tools for finite element codes, scaling from laptops to clusters with 100,000+ cores.

  4. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  5. List of spatial analysis software - Wikipedia

    en.wikipedia.org/wiki/List_of_spatial_analysis...

    C, C++, Python, Tcl GPL: GeoDa : yes Windows, MAC OS, Linux: Center for Spatial Data Science, University of Chicago website : Analysis Interactive exploratory spatial data analysis, dynamic linking and brushing for cross-section data, local cluster stats, basic spatial regression capabilities. C++ GPL: STARS yes Linux, MAC OS, Windows: GeoDa Center

  6. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    statsmodels – Python package for statistics and econometrics (regression, plotting, hypothesis testing, generalized linear model (GLM), time series analysis, autoregressive–moving-average model (ARMA), vector autoregression (VAR), non-parametric statistics, ANOVA) Statistical Lab – R-based and focusing on educational purposes

  7. Spyder (software) - Wikipedia

    en.wikipedia.org/wiki/Spyder_(software)

    It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.

  8. Comparison of statistical packages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_statistical...

    Product One-way Two-way MANOVA GLM Mixed model Post-hoc Latin squares; ADaMSoft: Yes Yes No No No No No Alteryx: Yes Yes Yes Yes Yes Analyse-it: Yes Yes No

  9. Comparison of numerical-analysis software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_numerical...

    C++, C#, Python, FreePascal 2006 3.19.0, June 2022 Dual licensed GPL/commercial General purpose numerical analysis library. Cross-platform (Windows, *nix). Armadillo: NICTA: C++ 2009 3.900, 2013 Free MPL: C++ template library for linear algebra; includes various decompositions and factorisations; syntax is similar to MATLAB. GNU Scientific Library