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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
Software analytics is the analytics specific to the domain of software systems taking into account source code, static and dynamic characteristics (e.g., ...
SAS (previously "Statistical Analysis System") [1] is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, [2] and predictive analytics. SAS' analytical software is built upon artificial intelligence and utilizes machine learning ...
SAS Institute (or SAS, pronounced "sass") is an American multinational developer of analytics and artificial intelligence software based in Cary, North Carolina. SAS develops and markets a suite of analytics software (also called SAS), which helps access, manage, analyze and report on data to aid in decision-making. The company's software is ...
This is a list of web analytics software used to collect and display data about visiting website users. Self-hosted software. Free / Open source This is a ...
Baudline is a time-frequency browser for numerical signals analysis and scientific visualization. COMSOL Multiphysics is a finite-element analysis, solver and simulation software / FEA Software package for various physics and engineering applications, especially coupled phenomena, or multiphysics. Dataplot is provided by NIST.
Integrated data analysis graphing software for science and engineering. Flexible multi-layer graphing framework. 2D, 3D and statistical graph types. Built-in digitizing tool. Analysis with auto recalculation and report generation. Built-in scripting and programming languages. Perl Data Language: Karl Glazebrook 1996 c. 1997 2.080 28 May 2022: Free
The software is focused on exploratory visual analytics, where users investigate and explore data. It also supports the verification of these explorations by hypothesis testing, data mining, or other analytic methods. Discoveries made using JMP's analytical tools are commonly applied for experimental design.
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