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  2. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    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

  3. Data build tool - Wikipedia

    en.wikipedia.org/wiki/Data_build_tool

    Dbt enables analytics engineers to transform data in their warehouses by writing select statements, and turns these select statements into tables and views. Dbt does the transformation (T) in extract, load, transform (ELT) processes – it does not extract or load data, but is designed to be performant at transforming data already inside of a ...

  4. JMP (statistical software) - Wikipedia

    en.wikipedia.org/wiki/JMP_(statistical_software)

    Version 13.0 was released in September 2016 and introduced various improvements to reporting, ease-of-use and its handling of large data sets in memory. [ 29 ] [ 30 ] Version 14.0 was released in March 2018; new functionality included a Projects file management tool alongside the ability to use your own images as markers on your graph.

  5. Dynamization - Wikipedia

    en.wikipedia.org/wiki/Dynamization

    In computer science, dynamization is the process of transforming a static data structure into a dynamic one. Although static data structures may provide very good functionality and fast queries, their utility is limited because of their inability to grow/shrink quickly, thus making them inapplicable for the solution of dynamic problems, where the input data changes.

  6. List of tools for static code analysis - Wikipedia

    en.wikipedia.org/wiki/List_of_tools_for_static...

    Clang – The free Clang project includes a static analyzer. As of version 3.2, this analyzer is included in Xcode. [14] Infer – Developed by an engineering team at Facebook with open-source contributors. Targets null pointers, leaks, API usage and other lint checks. Available as open source on github. Understand

  7. Dataflow programming - Wikipedia

    en.wikipedia.org/wiki/Dataflow_programming

    POGOL, an otherwise conventional data-processing language developed at NSA, compiled large-scale applications composed of multiple file-to-file operations, e.g. merge, select, summarize, or transform, into efficient code that eliminated the creation of or writing to intermediate files to the greatest extent possible. [11]

  8. IDL (programming language) - Wikipedia

    en.wikipedia.org/wiki/IDL_(programming_language)

    IDL is vectorized, numerical, and interactive, and is commonly used for interactive processing of large amounts of data (including image processing). The syntax includes many constructs from Fortran and some from C. IDL originated from early VMS Fortran, and its syntax still shows its heritage:

  9. Template processor - Wikipedia

    en.wikipedia.org/wiki/Template_processor

    XSLT is a template processing model designed by W3C. It is designed primarily for transformations on XML data (into web documents or other output). Programming languages such as Perl, Python, PHP, Ruby, C#, Java, and Go support template processing either natively, or through add-on libraries and modules.