pi.science.api 1.4.0

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 and Polyglot Notebooks. 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 6alternate text is missing from this package README image) - 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 alternate text is missing from this package README image).
  • Astronomy (PIRa, PIDec).


Examples for every area you can find here.

HTML documentation included (for download here.).

TEST classes you can download here.

alternate text is missing from this package README image

Scheduled areas for next development:

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

Product Compatible and additional computed target framework versions.
.NET net6.0 is compatible.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
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 1,679 8/28/2022
1.3.4 887 5/11/2020
1.3.2 449 5/11/2020
1.3.0 616 1/1/2020
1.2.8 503 9/24/2019
1.2.6 478 8/21/2019
1.2.4 527 7/31/2019
1.2.2 522 7/9/2019
1.2.0 510 6/27/2019
1.1.8 512 6/23/2019
1.1.6 538 6/14/2019
1.1.4 505 6/14/2019
1.1.2 542 6/11/2019
1.1.0 584 6/9/2019