Analysis updated 2026-07-03
Solve linear algebra problems like matrix decomposition and least-squares regression in a C# app without writing the math yourself
Run statistical analysis, probability distributions, and random sampling in a .NET data pipeline
Perform FFT signal processing on time-series data in a .NET application
Load a MATLAB .mat file or CSV matrix into a .NET project and run numerical computations on it without leaving the language
| mathnet/mathnet-numerics | umlx5h/llplayer | microsoft/kiota | |
|---|---|---|---|
| Stars | 3,735 | 3,735 | 3,734 |
| Language | C# | C# | C# |
| Setup difficulty | easy | moderate | easy |
| Complexity | 3/5 | 3/5 | 2/5 |
| Audience | researcher | general | developer |
Figures from each repo's GitHub metadata at analysis time.
Pure managed mode works out of the box via NuGet, Intel MKL or OpenBLAS requires an additional NuGet package for native acceleration.
Math.NET Numerics is an open-source mathematics library for the .NET platform, written primarily in C#. It provides ready-to-use implementations of a wide range of numerical methods so developers do not have to write their own from scratch. The covered areas include linear algebra (matrix operations, decompositions), statistics, probability distributions, random number generation, interpolation, numerical integration, regression, curve fitting, and signal processing transforms like FFT. The library is part of the broader Math.NET initiative and targets .NET applications running on .NET 5 or later.NET Framework 4.6.1 or later, and .NET Standard 2.0. It installs via NuGet, the standard package manager for .NET projects, so adding it to a project is a single command or a click in an IDE. F# developers get specific support through a separate companion package that adds idiomatic extensions making the library feel more natural in functional code. A BigRational data type, originally from the F# PowerPack, is maintained here as well. For applications where raw performance matters, the default managed-code implementation behind linear algebra operations can be swapped out for bindings to optimized native libraries. Intel MKL and OpenBLAS are both supported through optional NuGet packages. This means the same code can run in pure managed mode during development or testing, and switch to native acceleration in production without any API changes. Optional data extension packages handle reading and writing matrices in text formats like CSV, the MatrixMarket format, and MATLAB's Level-5 .mat file format. These are separate installs, so you only add what your project needs. The library is released under the MIT license, which allows use in both open-source and commercial projects. Contributions are accepted, and the project has active discussion forums and a Stack Overflow presence.
Math.NET Numerics is a .NET math library covering matrices, statistics, probability, FFT, and more, installable via NuGet with optional Intel MKL acceleration for high-performance computing.
Mainly C#. The stack also includes C#, F#, .NET.
Use freely for any purpose, including commercial projects, as long as you keep the MIT copyright notice.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
Verify against the repo before relying on details.