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#Fit

63 packages tagged with “Fit”

MathNet.Numerics✓

Math.NET Numerics is the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .NET 5.0 or higher, .NET Standard 2.0 and .NET Framework 4.6.1 or higher, on Windows, Linux and Mac.

v5.0.0↙ 58.4M
mathnumericstatisticsprobabilityintegration

MathNet.Numerics.Signed✓

Math.NET Numerics is the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .NET 5.0 or higher, .NET Standard 2.0 and .NET Framework 4.6.1 or higher, on Windows, Linux and Mac. This package contains strong-named assemblies for legacy use cases (not recommended).

v5.0.0↙ 37.0M
mathnumericstatisticsprobabilityintegration

MathNet.Numerics.FSharp✓

F# Modules for Math.NET Numerics, the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .NET 5.0 or higher, .NET Standard 2.0 and .NET Framework 4.6.1 or higher, on Windows, Linux and Mac.

v5.0.0↙ 4.0M
fsharpF#mathnumericstatistics
pkg

FitSharp

fitSharp is a set of open-source functional testing tools for .NET, inspired by the Framework for Integrated Test. It can be used in combination with FitNesse.

v2025.11.17↙ 277.2K
fitfitnessetestingdotnet

CenterSpace.NMath.Standard.Windows.X64

Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming. This package also provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization. Built on .NET Standard 2.0. Requires a minimum of .NET Standard 2.0, .NET 5, .NET Core 2.0 or .NET Framework 4.6.1. Requires Visual Studio 2015-2019 C++ x64 runtime. Requires x64 hardware.

v7.4.2.16↙ 954.0K
mathstatisticsnumericsprobabilitylinear

Extreme.Numerics

Numerics.NET (formerly Extreme Optimization Numerical Libraries for .NET) are a set of libraries for numerical computing and data analysis. This is the main package that contains all the core functionality. For optimal performance, we strongly recommend also referencing one of the native packages based on Intel's Math Kernel Library (MKL). Supports .NET 5.0-8.0+, .NET Framework 4.62+, .NET Standard 2.0, and .NET Core 3.1 on Windows, Linux and Mac.

v8.1.25↙ 1.5M
mathstatisticsprobabilitymachinelearning

CenterSpace.NMath.Premium

The GPU-accelerated version of package CenterSpace.NMath. With a few minor exceptions, such as optional GPU configuration settings, the API is identical between CenterSpace.NMath.Premium and CenterSpace.NMath. If using at least .NET Framework 4.6.1 or .NET Core 2.0, we recommend using one of our NMath .NET Standard NuGet packages.

v6.2.0.58↙ 343.5K
GPUmathstatisticsnumericslinear

CenterSpace.NMath.Standard.Linux.X64

Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming. This package also provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization. Built on .NET Standard 2.0. Requires a minimum of .NET Standard 2.0, .NET 5, .NET Core 2.0 or .NET Framework 4.6.1. Requires libgcc linux. Requires x64 hardware.

v7.4.2.16↙ 333.6K
mathstatisticsnumericsprobabilitylinear

CenterSpace.NMath

Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming. If you're using at least .NET Framework 4.6.1 or .NET Core 2.0, we recommend using one of our NMath .NET Standard NuGet packages.

v6.2.0.58↙ 172.2K
mathstatisticsnumericslinearalgebra
pkg

Garmin.FIT.Sdk✓

FIT C# SDK

v21.195.0↙ 27.1K
fitfitsdkgarmin

CenterSpace.NMath.Standard.Windows.X86.X64

Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming. This package also provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization. Built on .NET Standard 2.0. Requires a minimum of .NET Standard 2.0, .NET 5 or .NET Core 2.0. Does not support .NET Framework. Requires Visual Studio 2017 C++ x86 and x64 runtimes. Requires x64 hardware.

v7.1.0.47↙ 178.4K
mathstatisticsnumericsprobabilitylinear

MathNet.Numerics.FSharp.Signed✓

F# Modules for Math.NET Numerics, the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .NET 5.0 or higher, .NET Standard 2.0 and .NET Framework 4.6.1 or higher, on Windows, Linux and Mac. This package contains strong-named assemblies for legacy use cases (not recommended).

v5.0.0↙ 106.4K
fsharpF#mathnumericstatistics

CenterSpace.NMath.Standard.WindowsAndLinux.X64

Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming. This package also provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization. Built on .NET Standard 2.0. Requires a minimum of .NET Standard 2.0, .NET 5, .NET Core 2.0 or .NET Framework 4.6.1. Requires x64 hardware. On Windows, requires Visual Studio 2017 C++ x64 runtime. On Linux, requires libgcc.

v7.1.0.47↙ 142.8K
mathstatisticsnumericsprobabilitylinear

CenterSpace.NMath.Standard.OSX.X64

Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming. This package also provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization. Built on .NET Standard 2.0. Requires a minimum of .NET Standard 2.0, .NET 5, .NET Core 2.0 or .NET Framework 4.6.1. Requires x64 hardware.

v7.2.0.35↙ 105.9K
mathstatisticsnumericsprobabilitylinear
pkg

FastFitParser.Core

High performance FIT file parser packaged as a PCL.

v0.3.0↙ 8.6K
FITParserPCL

Numerics.NET.Core✓

Numerics.NET (formerly Extreme Optimization Numerical Libraries for .NET) are a set of libraries for numerical computing and data analysis. This is the main package that contains all the core functionality. For optimal performance, we strongly recommend also referencing one of the native packages based on Intel's Math Kernel Library (MKL). Supports .NET 8, 9, 10, .NET Framework 4.6.2+, .NET Standard 2.0 on Windows, Linux and Mac.

v10.3.0↙ 105.0K
mathstatisticsprobabilitymachinelearning

Numerics.NET✓

Numerics.NET (formerly Extreme Optimization Numerical Libraries for .NET) are a set of libraries for numerical computing and data analysis. This package bundles all functionality except for native libraries. For optimal performance, we strongly recommend also referencing one of the native packages based on Intel's Math Kernel Library (MKL). Supports .NET 8, 9, 10, .NET Framework 4.62+, .NET Standard 2.0 on Windows, Linux and Mac.

v10.3.0↙ 88.9K
mathstatisticsprobabilitymachinelearning

Numerics.NET.Tensors✓

Numerics.NET is a set of libraries for numerical computing and data analysis. This is the Tensors package that contains support for multi-dimensional arrays. Supports .NET 8, 9, 10, .NET Framework 4.62+, .NET Standard 2.0 on Windows, Linux and Mac.

v10.3.0↙ 71.9K
mathstatisticsprobabilitymachinelearning

Numerics.NET.Generic✓

Numerics.NET is a set of libraries for numerical computing and data analysis. This package provides a complete implementation of linear algebra functionality for arbitrary numerical types. Supports .NET 8, 9, 10, .NET Framework 4.62+, .NET Standard 2.0 on Windows, Linux and Mac.

v10.3.0↙ 73.4K
mathstatisticsprobabilitymachinelearning

CenterSpace.NMath.Standard.Windows.X86

Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming. This package also provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization. Built on .NET Standard 2.0. Requires a minimum of .NET Standard 2.0, .NET 5, .NET Core 2.0 or .NET Framework 4.6.1. Requires Visual Studio 2017 C++ x86 runtime.

v7.1.0.47↙ 41.8K
mathstatisticsnumericsprobabilitylinear

Numerics.NET.SinglePrecision✓

Numerics.NET is a set of libraries for numerical computing and data analysis. This package provides types specialized to single-precision, including complex numbers, as well as optimized implementations of single-precision linear algebra. Supports .NET 8, 9, 10, .NET Framework 4.62+, .NET Standard 2.0 on Windows, Linux and Mac.

v10.3.0↙ 73.2K
mathstatisticsprobabilitymachinelearning

Numerics.NET.Data✓

Data Access Library for reading and writing files in commonly used formats including: R, Matlab, Text (CSV, delimited, fixed width), matrix market, stata. Part of the Numerics.NET.

v10.3.0↙ 71.8K
mathstatisticsprobabilitymachinelearning

Extreme.Data

Data Access Library for reading and writing files in commonly used formats including: R, Matlab, Text (CSV, delimited, fixed width), matrix market, stata. Part of the Extreme Optimization Numerical Libraries for .NET.

v3.1.0↙ 51.8K
mathstatisticsprobabilitymachinelearning
pkg

OneRepMax

This library provides a variety of formulas to estimate a one rep maximum.

v3.0.0↙ 19.3K
OneRepMaximum1RMTraining

IQ1_FiT

Installation Qualification

v1.0.0↙ 2.2K
IQIQ1FiT

Extreme.Data.Json

Extreme Optimization Numerical Libraries for .NET Data Access Library for JSON.

v3.1.0↙ 45.0K
mathstatisticsprobabilitymachinelearning
pkg

SimpleGoogleFitApi

A simple to use package to get data from Google Fit

v1.0.1↙ 928
Fit
pkg

XamDroid.FitChart

A Google Fit like chart to include in your Android applications. See the GitHub page for additional details and sample code.

v1.0.0↙ 2.8K
xamarinfitchartgooglefitfitchart
pkg

Universal.Common.Mathematics

Class library implementing advanced mathematical algorithms, transforms, and time series manipulations. Implementations favour simplicity and correctness.

v4.2.0↙ 116.0K
MathematicsMatrixVectorIntervalAlgorithm

Extreme.Numerics.Mkl.Windows

Extreme Optimization Numerical Libraries for .NET P/Invoke MKL Provider for Windows.

v1.0.4↙ 21.2K
mathstatisticsprobabilitymachinelearning