Fastor VS SPTK

Compare Fastor vs SPTK and see what are their differences.

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Fastor SPTK
5 1
706 210
- 3.3%
4.3 8.0
22 days ago 25 days ago
C++ C++
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Fastor

Posts with mentions or reviews of Fastor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-09.
  • Standard way of doing maths with arrays?
    2 projects | /r/cpp_questions | 9 Mar 2023
    I'm going to throw in a recommendation for Fastor. It is generally faster than other libraries, is very lightweight, and has a pretty modern syntax.
  • LibRapid -- High Performance Arrays for C++
    4 projects | /r/cpp | 9 Feb 2023
  • From Julia to C++ Struggle
    5 projects | /r/Julia | 9 Feb 2022
    There are C++ libraries that deal with linear algebra and tensors that are able to produce fully vectorized code without requiring you to mess around with SIMD intrinsics. See, for instance, fastor, blaze, eigen and the huge Trillinos set of packages. C++ is very widely used when it comes to scientific HPC applications. All you need to do is google search or better yet, join r/cpp and r/cpp_questions and start asking away for the things you need. The C++ community is very welcoming and full of experts that will be able to help you.
  • Use of BLAS vs direct SIMD for linear algebra library operations?
    3 projects | /r/cpp | 28 Aug 2021
    Picking what size you are targeting is really important, though. Could the matrices you are working with realistically be bigger than say 32x32? BLAS is good for big matrices. It's not as great for small matrices. Eigen or Fastor will do better for these smaller problems. And for various common operations on sizes 2, 3, and 4, hand coded graphics-oriented libraries might outperform those.
  • Scientific computing in Cpp
    2 projects | /r/cpp | 18 Feb 2021
    Tensorflow, Machine learning: https://www.tensorflow.org/ Fastor, A tensor library: https://github.com/romeric/Fastor GNU Scientific Library(GSL): https://www.gnu.org/software/gsl/ Boost. FEniCS, A finite element library: https://fenicsproject.org/ Intel MKL, a BLAS+LAPACK+other goodies library: https://software.intel.com/content/www/us/en/develop/tools/math-kernel-library.html SuiteSparse, A sparse linear algebra library: http://faculty.cse.tamu.edu/davis/suitesparse.html Sundials, Nonlinear solvers: https://computing.llnl.gov/projects/sundials

SPTK

Posts with mentions or reviews of SPTK. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-09.
  • From Julia to C++ Struggle
    5 projects | /r/Julia | 9 Feb 2022
    For LinAlg https://eigen.tuxfamily.org/ is pretty popular. For speech signal processing one option is https://github.com/sp-nitech/SPTK

What are some alternatives?

When comparing Fastor and SPTK you can also consider the following projects:

xtensor - C++ tensors with broadcasting and lazy computing

conan - Conan - The open-source C and C++ package manager

DirectXMath - DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps

r8brain-free-src - High-quality pro audio resampler / sample rate converter C++ library. Very fast, for both audio resampling and time-series interpolation.

dynarray - A header-only library, VLA for C++ (≥C++14). Extended version of std::experimental::dynarray

Google Test - GoogleTest - Google Testing and Mocking Framework

ITensors.jl - A Julia library for efficient tensor computations and tensor network calculations

faust - Functional programming language for signal processing and sound synthesis

sundials - Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.

Catch - A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)

ArrayFire - ArrayFire: a general purpose GPU library.

q - C++ Library for Audio Digital Signal Processing