mathnet/mathnet-numerics

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3765 stars · 939 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Math.NET Numerics is an open-source numerical library for .NET and Mono, providing methods and algorithms for numerical computation in science and engineering. It covers special functions, linear algebra, probability models, random numbers, statistics, interpolation, integration, regression, and FFT, with optional native providers like Intel MKL for performance.

Use cases

• perform linear algebra and matrix decompositions in C#
• compute statistics and probability distributions in .NET
• fit curves and run regression analysis
• compute FFT and integral transforms
• generate random numbers from probability models
• solve interpolation and numerical integration problems
• use numerical computing from F# with idiomatic modules

When to choose

• you need numerical computation in a .NET or Mono application
• you want a managed library with optional native MKL/OpenBLAS acceleration
• you need MIT-licensed math routines usable in proprietary software
• you work in both C# and F# and want idiomatic support for both

When to avoid

• you need GPU-accelerated deep learning rather than general numerics
• your project is not on the .NET platform
• you need symbolic math rather than numerical computation

Facets

library · maturity stable

math data-science machine-learning mathematics data-science dotnet cross-platform windows linear-algebra statistics fft regression interpolation numerical-computation fsharp csharp mkl openblas algorithms linux macos

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