pi.science.api 1.4.0

.NET 6.0
dotnet add package pi.science.api --version 1.4.0
NuGet\Install-Package pi.science.api -Version 1.4.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="pi.science.api" Version="1.4.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add pi.science.api --version 1.4.0
#r "nuget: pi.science.api, 1.4.0"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install pi.science.api as a Cake Addin
#addin nuget:?package=pi.science.api&version=1.4.0

// Install pi.science.api as a Cake Tool
#tool nuget:?package=pi.science.api&version=1.4.0

PI Science API

Scientific library for .NET (.NET 6) - since August 2022).

Supported areas:

  • Statistics (descriptive statistics, statistics classes) .
  • Math (matrices, Cramer`s rule, Gamma function, Beta function, Error function, Gamma incomplete function, numerical integration-Trapezoidal rule, numerical integration-Rectangle rule, numerical integration-Simpsons rule).
  • Discrete math (primes, prime factorization, prime factorization-Fermat).
  • Probability (factorial, combination, Catalan number).
  • Regression (linear, polynomial, exponential, exponential modified, power, Gompertz, logistic).
  • Smoothing (moving average, median smoothing, simple exponential smoothing, double exponential smoothing).
  • Probability distribution (normal distribution, chi-square distribution, students distribution, f distribution, log-normal distribution, exponential distribution, Poisson distribution, Erlang distribution, Weibull distribution, Rayleigh distribution, Pareto distribution).
  • Hypothesis testing (Shapiro-Wilk(original), Shapiro-Wilk(expanded), Skewness normality test, Kurtosis normality test, D`Agostino-Pearson normality test, Jarque-Bera normality test, Kolmogorov-Smirnov normality test).
  • Artificial Intelligence (Backpropagation neural net ).
  • Astronomy (PIRa, PIDec).


Examples for every area you can find here.

HTML documentation included (for download here.).

TEST classes you can download here.

Scheduled areas for next development:

Integrals, correlations, interpolations, hypothesis testing, fractions support, neural networks, graph algorithms, cluster analysis...

Product Versions
.NET net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-windows
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.
  • net6.0

    • No dependencies.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.4.0 218 8/28/2022
1.3.4 415 5/11/2020
1.3.2 356 5/11/2020
1.3.0 512 1/1/2020
1.2.8 399 9/24/2019
1.2.6 381 8/21/2019
1.2.4 409 7/31/2019
1.2.2 410 7/9/2019
1.2.0 417 6/27/2019
1.1.8 398 6/23/2019
1.1.6 439 6/14/2019
1.1.4 406 6/14/2019
1.1.2 443 6/11/2019
1.1.0 455 6/9/2019