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Fastor Alternatives
Similar projects and alternatives to Fastor
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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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)
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DirectXMath
DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps
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dynarray
A header-only library, VLA for C++ (≥C++14). Extended version of std::experimental::dynarray
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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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.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better Fastor alternative or higher similarity.
Fastor reviews and mentions
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.
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Standard way of doing maths with arrays?
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++
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From Julia to C++ Struggle
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.
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Use of BLAS vs direct SIMD for linear algebra library operations?
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.
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Scientific computing in Cpp
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
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A note from our sponsor - WorkOS
workos.com | 25 Apr 2024
Stats
Basic Fastor repo stats
5
699
4.1
12 days ago
romeric/Fastor is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Fastor is C++.
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