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SageMath 8.0 (July 2017), with development funded by the OpenDreamKit project, [8] successfully built on Cygwin, and a binary installer for 64-bit versions of Windows was available. [14] Although Microsoft was sponsoring a Windows version of SageMath, prior to 2016 users of Windows had to use virtualization technology such as VirtualBox to run ...
This is a list of free and open-source software packages (), computer software licensed under free software licenses and open-source licenses.Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]
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.
PARI/GP performs arbitrary precision calculations (e.g., the significand can be millions of digits long—and billions of digits on 64-bit machines). It can compute factorizations , perform elliptic curve computations and perform algebraic number theory calculations.
CoCalc operated by SageMath Inc. The creator and lead developer of CoCalc is William Stein, a former professor of mathematics at the University of Washington who also created the Sage software system. Initial development was funded by the University of Washington and grants from the National Science Foundation and Google. Now CoCalc is mostly ...
As SageMath is, SageManifolds is a free and open source software based on the Python programming language. It is released under the GNU General Public License. To download and install SageManifolds, see here. It is more specifically GPL v2+ (meaning that a user may elect to use a licence higher than GPL version 2.)
Providing build support for Linux, Mac OS, Solaris and Windows systems. Supporting building MPIR using Microsoft based build tools for use in 32- and 64-bit versions of Windows. MPIR is optimized for many processors (CPUs).
SIMPQS is accessible as the qsieve command in the SageMath computer algebra package, is part of the Fast Library for Number Theory, or can be downloaded in source form. SIMPQS is optimized for use on Athlon and Opteron machines, but will operate on most common 32- and 64-bit architectures. It is written entirely in C.