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SageMath is designed partially as a free alternative to the general-purpose mathematics products Maple and MATLAB. It can be downloaded or used through a web site. SageMath comprises a variety of other free packages, with a common interface and language. SageMath is developed in Python.
SageMath is a large mathematical software application which integrates the work of nearly 100 free software projects and supports linear algebra, combinatorics, numerical mathematics, calculus, and more. [16] SciPy, [17] [18] [19] a large BSD-licensed library of scientific tools. De facto standard for scientific computations in Python.
Free modified BSD license: Historically important general purpose CAS. Still alive, as open-sourced and freed in December 2008 SageMath: William A. Stein: 2005 2005 9.8: 11 February 2023 [23] Free GNU GPL: Mathematics software system combining a number of existing packages, including numerical computation, statistics and image processing ...
Free software portal; Mathematics portal; This category is for software for performing mathematical tasks which is distributed as free software — that is to say that the source code must be available and re-usable under a free software license
Mathematical software is software used to model, analyze or calculate numeric, ... NMath and NAG libraries; a free alternative is the GNU Scientific Library.
SageMath (previously Sage or SAGE, "System for Algebra and Geometry Experimentation" [3]) is a computer algebra system (CAS) with features covering many aspects of mathematics, including algebra, combinatorics, graph theory, group theory, differentiable manifolds, numerical analysis, number theory, calculus and statistics.
Euler Mathematical Toolbox (or EuMathT; formerly Euler) is a free and open-source numerical software package. It contains a matrix language, a graphical notebook style interface, and a plot window. Euler is designed for higher level math such as calculus, optimization, and statistics.
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 ...
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