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NumPy
Analyzed about 9 hours ago
NumPy is the fundamental package for scientific computing with Python. It contains among other things:
a powerful N-dimensional array object
sophisticated (broadcasting) functions
tools for integrating C/C++ and Fortran code
useful linear algebra, Fourier transform, and random number
Licenses:
No declared licenses
Eigen
Analyzed 1 day ago
Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.
* It supports tiny & large dense, and sparse matrices, fully integrated with one another.
* It has no dependency and no binary to compile or link-to.
* It takes full advantage of
Licenses:
lgpl3, mozilla_p...
Scilab
No analysis available
(from the scilab homepage...)
Scilab is a scientific software package for numerical computations providing a powerful open computing environment for engineering and scientific applications.
Scilab is an open source software. Since 1994 it has been distributed freely along with the source code
Mostly written in language not available
Licenses:
No declared licenses
Math.NET Numerics
Analyzed 1 day ago
A mathematical open source library written in C#/.Net, aiming to provide a self contained clean framework for symbolic algebraic and numerical / scientific computations.
redmatrix
No analysis available
The Red Matrix is a decentralised identity and communications platform which provides internet-wide single-sign-on with nomadic identity, internet-wide access control, communications, content management and personal cloud storage.
Mostly written in language not available
Licenses:
mit
Nuiton-matrix
N
Claimed by Code Lutin Analyzed about 9 hours ago
Java library to provide multi-dimensional matrix functionalities.
Universal Java Matrix Package (UJMP)
Analyzed about 15 hours ago
The Universal Java Matrix Package (UJMP) is an open source Java library that provides sparse and dense matrix classes, as well as a large number of calculations for linear algebra like matrix multiplication or matrix inverse. Operations like mean, correlation, standard deviation, replacement of
Elemental (linear algebra)
No analysis available
Distributed-memory dense linear algebra.
Mostly written in language not available
Licenses:
BSD-3-Clause
jblas
Analyzed about 20 hours ago
jblas is a fast linear algebra library for Java. jblas is based on BLAS and LAPACK, the de-facto industry standard for matrix computations, and uses state-of-the-art implementations like ATLAS for all its computational routines, making jBLAS very fast.
jblas can is essentially a light-wight