Top 20 NuGet statistics Packages

GoogleAnalyticsTracker for ASP.NET Web API. GoogleAnalyticsTracker was created to have a means of tracking specific URL's directly from C#. For example, it enables you to log API calls to Google Analytics.
GoogleAnalyticsTracker for ASP.NET Web API. GoogleAnalyticsTracker was created to have a means of tracking specific URL's directly from C#. For example, it enables you to log API calls to Google Analytics.
GoogleAnalyticsTracker was created to have a means of tracking specific URL's directly from C#. For example, it enables you to log API calls to Google Analytics.
GoogleAnalyticsTracker for NancyFx. GoogleAnalyticsTracker was created to have a means of tracking specific URL's directly from C#. For example, it enables you to log API calls to Google Analytics.
GoogleAnalyticsTracker for OWIN. GoogleAnalyticsTracker was created to have a means of tracking specific URL's directly from C#. For example, it enables you to log requests to Google Analytics.
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.
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 Framework 4.0 or higher and .Net Standard 1.3 or higher, on Windows, Linux and Mac. This package contain...
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 Framework 4.0 or higher and .Net Standard 1.3 or higher, on Windows, Linux and Mac.
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 solut...
Deedle implements an efficient and robust frame and series data structures for manipulating with structured data. It supports handling of missing values, aggregations, grouping, joining, statistical functions and more. For frames and series with ordered indices (such as time series), automatic align...
Extreme Optimization Numerical Libraries for .NET Single-Precision P/Invoke MKL Provider for Linux.
Extreme Optimization Numerical Libraries for .NET P/Invoke MKL Provider for Linux.
The 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 recommend also referencing one of the native packages based on Intel's Math Kernel ...
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 Framework 4.5 or higher and .Net Standard 1.6 or higher, on Windows, Linux and Mac.
GoogleAnalyticsTracker was created to have a means of tracking specific URL's directly from C#. For example, it enables you to log API calls to Google Analytics.
GoogleAnalyticsTracker was created to have a means of tracking specific URL's directly from C#. For example, it enables you to log API calls to Google Analytics.
Charting for CenterSpace.NMath.Stats.Premium types using the Microsoft Chart Controls for .NET, creating a complete data analysis and visualization solution.
The GPU-accelerated version of package CenterSpace.NMath.Stats. With a few minor exceptions, such as optional GPU configuration settings, the API is identical between CenterSpace.NMath.Stats.Premium and CenterSpace.NMath.Stats.
Charting for CenterSpace.NMath.Stats types using the Microsoft Chart Controls for .NET, creating a complete data analysis and visualization solution.
Classes for data manipulation and statistical computation, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization.