Daany -- DAta ANalYtics on .NET
This provides a cross-platform tool for .NET developers in data science, but it is incremental as it replicates existing Python libraries like Pandas.
The authors introduced Daany, a .NET library for data analytics and linear algebra, designed for data preparation, feature engineering, and transformations, with features like DataFrame, time series decomposition, and optimization methods.
Daany is .NET and cross platform data analytics and linear algebra library written in C# supposed to be a tool for data preparation, feature engineering and other kind of data transformations and feature engineering. The library is implemented on top of .NET Standard 2.1 and supports .NET Core 3.0 and above separated on several Visual Studio projects that can be installed as a NuGet package. The library implements DataFrame as the core component with extensions of a set of data science and linear algebra features. The library contains several implementation of time series decomposition (SSA, STL ARIMA), optimization methods (SGD) as well as plotting support. The library also implements set of features based on matrix, vectors and similar linear algebra operations. The main part of the library is the Daany.DataFrame with similar implementation that can be found in python based Pandas library. The paper presents the main functionalities and the implementation behind the Daany packages in the form of developer guide and can be used as manual in using the Daany in every-day work. To end this the paper shows the list of papers used the library.