pi.science.api 1.3.4

.NET Standard 2.0
Install-Package pi.science.api -Version 1.3.4
dotnet add package pi.science.api --version 1.3.4
<PackageReference Include="pi.science.api" Version="1.3.4" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add pi.science.api --version 1.3.4
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: pi.science.api, 1.3.4"
#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=1.3.4

// Install pi.science.api as a Cake Tool
#tool nuget:?package=pi.science.api&version=1.3.4
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

PI Science API

Scientific library for .NET (standard 2.0).

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 net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows
.NET Core netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1
.NET Standard netstandard2.0 netstandard2.1
.NET Framework net461 net462 net463 net47 net471 net472 net48
MonoAndroid monoandroid
MonoMac monomac
MonoTouch monotouch
Tizen tizen40 tizen60
Xamarin.iOS xamarinios
Xamarin.Mac xamarinmac
Xamarin.TVOS xamarintvos
Xamarin.WatchOS xamarinwatchos
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.
  • .NETStandard 2.0

    • 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
1.3.4 297 5/11/2020
1.3.2 262 5/11/2020
1.3.0 412 1/1/2020
1.2.8 295 9/24/2019
1.2.6 276 8/21/2019
1.2.4 309 7/31/2019
1.2.2 306 7/9/2019
1.2.0 312 6/27/2019
1.1.8 302 6/23/2019
1.1.6 336 6/14/2019
1.1.4 302 6/14/2019
1.1.2 334 6/11/2019
1.1.0 346 6/9/2019

+ Added method pi.science.api.PIException.DirectoryNotExists().
# Repair in method pi.science.astro.PIConstellations.GetNameByAbbr().
+ Added method pi.science.astro.PIRaAddArcMinutes().
# Repair in constructor pi.science.astro.PIDec() for decimal value type.
+ Added method pi.science.math.Pythagorean_GetCFromA().