tensor software

• SPLATT{{Cite web | url=http://www-users.cs.umn.edu/~splatt/ | title=SPLATT - Parallel Sparse Tensor Decomposition | Karypis Lab}} is an open source software package for high-performance sparse tensor factorization. SPLATT ships a stand-alone executable, C/C++ library, and Octave/MATLAB API.
• Cadabra{{Cite web | url=http://cadabra.science | title=Cadabra: A field-theory motivated approach to computer algebra}} is a computer algebra system (CAS) designed specifically for the solution of problems encountered in field theory. It has extensive functionality for tensor polynomial simplification including multi-term symmetries, fermions and anti-commuting variables, Clifford algebras and Fierz transformations, implicit coordinate dependence, multiple index types and many more. The input format is a subset of TeX. Both a command-line and a graphical interface are available.
• Telahttp://www.ava.fmi.fi/prog/tela.html Tela is a software package similar to MATLAB and GNU Octave, but designed specifically for tensors.

• Tensor{{cite web |url=http://www.adinfinitum.no/cartan |title=Cartan: A Mathematica package for tensor analysis |access-date=2010-01-01 |url-status=dead |archive-url=https://web.archive.org/web/20090531083427/http://www.adinfinitum.no/cartan/ |archive-date=2009-05-31 }} Tensors in Physics is a tensor package written for the Mathematica system. It provides many functions relevant for General Relativity calculations in general Riemann–Cartan geometries.
• Riccihttp://www.math.washington.edu/~lee/Ricci/ Ricci is a system for Mathematica 2.x and later for doing basic tensor analysis, available for free.
• TTChttps://sites.google.com/view/xjaen-ttc/home TTC Tools of Tensor Calculus is a Mathematica package for doing tensor and exterior calculus on differentiable manifolds.
• EDC and RGTC,http://www.inp.demokritos.gr/~sbonano/RGTC/ EDC and RGTC "Exterior Differential Calculus" and "Riemannian Geometry & Tensor Calculus," are free Mathematica packages for tensor calculus especially designed but not only for general relativity.
• Tensorialhttp://home.comcast.net/~djmpark/TensorialPage.html Tensorial "Tensorial 4.0" is a general purpose tensor calculus package for Mathematica.
• xAct:http://www.xact.es/ xAct Efficient Tensor Computer Algebra for Mathematica. xAct is a collection of packages for fast manipulation of tensor expressions.
• GREAThttp://library.wolfram.com/infocenter/MathSource/4781/ GREAT is a free package for Mathematica that computes the Christoffel connection and the basic tensors of General Relativity from a given metric tensor.
• Atlas 2 for Mathematicahttp://digi-area.com/Mathematica/atlas/ atlas 2 for Mathematica is a powerful Mathematica toolbox which allows to do a wide range of modern differential geometry calculations
• GRTensorMhttp://grtensor.phy.queensu.ca/ GRTensorII is a computer algebra package for performing calculations in the general area of differential geometry.
• MathGRhttps://github.com/tririver/MathGR; https://arxiv.org/abs/1306.1295 MathGR is a package to manipulate tensor and GR calculations with either abstract or explicit indices, simplify tensors with permutational symmetries, decompose tensors from abstract indices to partially or completely explicit indices and convert partial derivatives into total derivatives.
• TensoriaCalchttp://www.stargazing.net/yizen/Tensoria.html TensoriaCalc is a tensor calculus package written for Mathematica 9 and higher, aimed at providing user-friendly functionality and a smooth consistency with the Mathematica language itself. As of January 2015, given a metric and the coordinates used, TensoriaCalc can compute Christoffel symbols, the Riemann curvature tensor, and Ricci tensor/scalar; it allows for user-defined tensors and is able to perform basic operations such as taking the covariant derivatives of tensors. TensoriaCalc is continuously under development due to time constraints faced by its developer.
• OGRe{{cite journal

| last = Shoshany

| first = Barak

| title = OGRe: An Object-Oriented General Relativity Package for Mathematica

| journal = Journal of Open Source Software

| volume = 6

| issue = 65

| pages = 3416

| publisher = The Open Journal

| date = 2021

| url = https://doi.org/10.21105/joss.03416

| doi = 10.21105/joss.03416| arxiv = 2109.04193

| bibcode = 2021JOSS....6.3416S

}} https://github.com/bshoshany/OGRe is a modern free and open-source Mathematica package for tensor calculus, released in 2021 for Mathematica 12.0 and later. It is designed to be both powerful and user-friendly, and is especially suitable for general relativity. OGRe allows performing arbitrarily complicated tensor operations, and automatically transforms between index configurations and coordinate systems behind the scenes as needed for each operation.

• GRTensorIIhttp://grtensor.phy.queensu.ca/ GRTensorII is a computer algebra package for performing calculations in the general area of differential geometry.
• Atlas 2 for Maplehttp://digi-area.com/Maple/atlas/ atlas 2 for Maple is a modern differential geometry for Maple.
• DifferentialGeometry{{Cite web | url=http://digitalcommons.usu.edu/dg/ | title=Utah State University Differential Geometry Software Project | Utah State University Research | DigitalCommons@USU}} is a package which performs fundamental operations of calculus on manifolds, differential geometry, tensor calculus, General Relativity, Lie algebras, Lie groups, transformation groups, jet spaces, and the variational calculus. It is included with Maple.
• Physics{{Cite web | url=https://www.maplesoft.com/support/help/Maple/view.aspx?path=Physics&cid=496 | title=Overview of the Physics Package - Maple Programming Help}} is a package developed as part of Maple, which implements symbolic computations with most of the objects used in mathematical physics. It includes objects from general relativity (tensors, metrics, covariant derivatives, tetrads etc.), quantum mechanics (Kets, Bras, commutators, noncommutative variables) etc.

• Tensorlab{{Cite web | url=http://www.tensorlab.net | title=Tensorlab | A Matlab package for tensor computations}} is a MATLAB toolbox for multilinear algebra and structured data fusion.
• Tensor Toolboxhttp://sandia.gov/~tgkolda/TensorToolbox Tensor Toolbox Multilinear algebra MATLAB software.
• MPCA and MPCA+LDAhttp://www.mathworks.com/matlabcentral/fileexchange/26168 MPCA and MPCA+LDA Multilinear subspace learning software: Multilinear principal component analysis.
• UMPCA[http://www.mathworks.com/matlabcentral/fileexchange/35432 UMPCA] Multilinear subspace learning software: Uncorrelated multilinear principal component analysis.
• UMLDAhttp://www.mathworks.com/matlabcentral/fileexchange/35782 UMLDA Multilinear subspace learning software: Uncorrelated multilinear discriminant analysis.

Maximahttp://maxima.sourceforge.net/ Maxima on sourceforge.net is a free open source general purpose computer algebra system which includes several packages for tensor algebra calculations in its core distribution.

It is particularly useful for calculations with abstract tensors, i.e., when one wishes to do calculations without defining all components of the tensor explicitly. It comes with three tensor packages:http://maxima.sourceforge.net/docs/manual/en/maxima_27.html#SEC90 The itensor Package Guide

• itensor for abstract (indicial) tensor manipulation,
• ctensor for component-defined tensors, and
• atensor for algebraic tensor manipulation.

• Tensor{{Citation|last=Rougier|first=Jonathan|title=tensor: Tensor product of arrays|date=2012-05-05|url=https://cran.r-project.org/web/packages/tensor/index.html|access-date=2016-12-10}} is an R package for basic tensor operations.
• rTensor{{Citation|last=Wells|first=James Li and Jacob Bien and Martin|title=rTensor: Tools for Tensor Analysis and Decomposition|date=2015-12-15|url=https://cran.r-project.org/web/packages/rTensor/index.html|access-date=2016-12-10}} provides several tensor decomposition approaches.
• nnTensor{{Citation|last=Tsuyuzaki|first=Koki|title=nnTensor: Non-Negative Tensor Decomposition|date=2020-06-04|url=https://cran.r-project.org/web/packages/nnTensor/index.html|access-date=2021-03-04}} provides several non-negative tensor decomposition approaches.
• ttTensor{{Citation|last=Tsuyuzaki|first=Koki|title=ttTensor: Tensor-Train Decomposition|date=2019-03-06|url=https://cran.r-project.org/web/packages/nnTensor/index.html|access-date=2021-03-04}} provides several tensor-train decomposition approaches.
• tensorBF{{Citation|last1=Khan|first1=Suleiman A.|title=tensorBF: Bayesian Tensor Factorization|date=2016-12-29|url=https://cran.r-project.org/web/packages/tensorBF/index.html|last2=Ammad-ud-din|first2=Muhammad|access-date=2017-01-07}} is an R package for Bayesian Tensor decomposition.
• MTF{{Cite journal|last1=Khan|first1=Suleiman A.|last2=Leppäaho|first2=Eemeli|last3=Kaski|first3=Samuel|date=2016-06-10|title=Bayesian multi-tensor factorization|journal=Machine Learning|language=en|volume=105|issue=2|pages=233–253|doi=10.1007/s10994-016-5563-y|issn=0885-6125|arxiv=1412.4679|s2cid=11871330}} Bayesian Multi-Tensor Factorization for data fusion and Bayesian versions of Tensor PCA and Tensor CCA. Software: [http://research.cs.aalto.fi/pml/software/mtf/ MTF].

• TensorLy{{Cite journal|last1=Kossaifi|first1=Jean|last2=Panagakis|first2=Yannis|last3=Anandkumar|first3=Anima|last4=Pantic|first4=Maja|date=2019|title=TensorLy: Tensor Learning in Python|journal=Journal of Machine Learning Research|language=en|volume=20|issue=26|pages=1–6|url=http://jmlr.org/papers/v20/18-277.html}} provides several tensor decomposition approaches.
• OGRePy{{cite web | url=https://github.com/bshoshany/OGRePy | title=OGRePy: An Object-Oriented General Relativity Package for Python | website=GitHub }} is Python port of the Mathematica package OGRe (see {{section link||Software for use with Mathematica}}), released in 2024 for Python 3.12 and later. It utilizes SymPy for symbolic computations and Jupyter as a notebook interface. OGRePy allows calculating arbitrary tensor formulas using any combination of addition, multiplication by scalar, trace, contraction, partial derivative, covariant derivative, and permutation of indices, and provides facilities for calculating various curvature tensors and geodesic equations.
• [https://github.com/thomasahle/tensorgrad Tensorgrad], an open-source python package for symbolic tensor manipulation. Supports general symbolic tensor derivatives using Penrose graphical notation, and gaussian expectations via Isserlis' theorem.

• TensorDecompositions.jl{{Citation|title=yunjhongwu/TensorDecompositions.jl|date=2018-09-16|url=https://github.com/yunjhongwu/TensorDecompositions.jl|access-date=2021-03-04}} provides several tensor decomposition approaches.
• TensorToolbox.jl{{Citation|title=lanaperisa/TensorToolbox.jl|date=2019-11-13|doi=10.5281/zenodo.3540787 |url=https://github.com/lanaperisa/TensorToolbox.jl|access-date=2021-03-04|last1=Periša |first1=Lana |last2=Arslan |first2=Alex }} provides several tensor decomposition approaches. This follows the functionality of MATLAB Tensor toolbox and Hierarchical Tucker Toolbox.
• ITensors.jl{{Cite journal|last1=Fishman|first1=Matthew|last2=Shite|first2=Steven R.|last3=Stoudenmire|first3=E. Miles|date=2020-06-28|title=The ITensor Software Library for Tensor Network Calculations|journal=Mathematical Software|language=en|arxiv=2007.14822v1}} is a library for rapidly creating correct and efficient tensor network algorithms. This is the Julia version of ITensor, not a wrapper around the C++ version but full implementations by Julia language.

• SageManifolds: tensor calculus on smooth manifolds; all SageManifoldshttp://sagemanifolds.obspm.fr/ SageManifolds code is included in SageMath since version 7.5; it allows for computations in various vector frames and coordinate charts, the manifold not being required to be parallelizable.

• ND4J: N-dimensional arrays for the JVM {{Citation|last=Gibson|first=Adam|title=ND4J: N-dimensional arrays for the JVM|date=2017-11-11|url=http://nd4j.org/|access-date=2016-12-10}} is a Java library for basic tensor operations and scientific computing.
• [https://github.com/idsc-frazzoli/tensor Tensor]: computation for regular or unstructured multi-dimensional tensors. Scalar entries are either in numeric or exact precision. API inspired by Mathematica. Java 8 library in with no external dependencies.

• RedberryHomepage: http://redberry.cc . Redberry project at Bitbucket: http://bitbucket.org/redberry/redberry is an open source computer algebra system designed for symbolic tensor manipulation. Redberry provides common tools for expression manipulation, generalized on tensorial objects, as well as tensor-specific features: indices symmetries, LaTeX-style input, natural dummy indices handling, multiple index types etc. The HEP package includes tools for Feynman diagrams calculation: Dirac and SU(N) algebra, Levi-Civita simplifications, tools for calculation of one-loop counterterms etc. Redberry is written in Java and provides extensive Groovy-based programming language.
• libxmhttps://github.com/ilyak/libxm libxm is a lightweight distributed-parallel tensor library written in C.
• FTensorhttp://www.wlandry.net/Projects/FTensor FTensor is a high performance tensor library written in C++.
• TLhttp://www.cepremap.cnrs.fr/juillard/mambo/download/manual/dynare++/tl.pdf TL is a multi-threaded tensor library implemented in C++ used in Dynare++. The library allows for folded/unfolded, dense/sparse tensor representations, general ranks (symmetries). The library implements Faa Di Bruno formula and is adaptive to available memory. Dynare++ is a standalone package solving higher order Taylor approximations to equilibria of non-linear stochastic models with rational expectations.
• vmmlibhttps://vmml.github.com/vmmlib/ vmmlib is a C++ linear algebra library that supports 3-way tensors, emphasizing computation and manipulation of several tensor decompositions.
• Spartnshttp://aleph0.info/spartns/ Spartns is a Sparse Tensor framework for Common Lisp.
• FAstMathttp://www.cimec.org.ar/petscfem FastMat is a thread-safe general tensor algebra library written in C++ and specially designed for FEM/FVM/BEM/FDM element/edge wise computations.
• Cyclops Tensor Framework {{Cite web | url=https://github.com/solomonik/ctf | title=Fork of cyclops-community/ctf repository updated haphazardly, previously this was main repo location: Solomonik/ctf| website=GitHub| date=2018-10-31}} is a distributed memory library for efficient decomposition of tensors of arbitrary type and parallel MPI+OpenMP execution of tensor contractions/functions.
• TiledArray{{Cite web | url=https://github.com/ValeevGroup/tiledarray | title=A massively-parallel, block-sparse tensor framework written in C++: ValeevGroup/tiledarray| website=GitHub| date=2019-02-03}} is a scalable, block-sparse tensor library that is designed to aid in rapid composition of high-performance algebraic tensor equation. It is designed to scale from a single multicore computer to a massively-parallel, distributed-memory system.
• libtensor {{Cite web | url=http://iopenshell.usc.edu/downloads/tensor/ | title=Downloads - iOpenShell}} is a set of performance linear tensor algebra routines for large tensors found in post-Hartree–Fock methods in quantum chemistry.
• ITensor {{Cite web | url=http://itensor.org | title=ITensor - Intelligent Tensor Library}} features automatic contraction of matching tensor indices. It is written in C++ and has higher-level features for quantum physics algorithms based on tensor networks.
• Fastor {{Cite web | url=https://github.com/romeric/Fastor | title=A light-weight high performance SIMD based tensor algebra framework in C++11/14/17: Romeric/Fastor| website=GitHub| date=2019-01-11}} is a high performance C++ tensor algebra library that supports tensors of any arbitrary dimensions and all their possible contraction and permutation thereof. It employs compile-time graph search optimisations to find the optimal contraction sequence between arbitrary number of tensors in a network. It has high level domain specific features for solving nonlinear multiphysics problem using FEM.
• Xerus {{Cite web | url=https://libxerus.org | title=Xerus Documentation - Xerus}} is a C++ tensor algebra library for tensors of arbitrary dimensions and tensor decomposition into general tensor networks (focusing on matrix product states). It offers Einstein notation like syntax and optimizes the contraction order of any network of tensors at runtime so that dimensions need not be fixed at compile-time.

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Category:Computer algebra systems

Category:Tensors