31 packages tagged with “DataFrame”
This package contains easy-to-use and high-performance libraries for data analysis and transformation.
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 alignment is also available.
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 alignment is also available. This package installs core Deedle package, together with an R type provider plugin which makes it possible to pass data frames and time series between R and Deedle
XPlot is a cross-platform data visualization library that supports creating charts using Google Charts and Plotly. The library provides a composable domain specific language for building charts and specifying their properties.
Spreads Core library
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 alignment is also available. This package installs the core Deedle package, Deedle.Math extension and Mathnet.Numerics to extend mathematic functions on Deedle Frames and Series.
ParquetSharp.DataFrame is a .NET library for reading and writing Apache Parquet files into/from .NET DataFrames, using ParquetSharp.
Spreads top level library.
Spreads immutable collections.
C# language binding and extensions to Apache Spark
Reads and writes serialized R data objects.
This is the DataFrame connector for ETLBox. It extends ETLBox with support for processing and transforming data using DataFrames, enabling efficient handling of structured data. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
.Net data frames library for exploratory data analysis
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 alignment is also available. This package installs the core Deedle package, NetOfficeFw.Excel, and a Deedle extension which makes it possible to send Deedle Frames to Excel.
Efficient, powerful data frames for .NET
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 alignment is also available. This package provides customizable formatting extensions for frames and series in dotnet interactive.
It is the implementation of Python dataframe on C#.
High-performance columnar DataFrame library for .NET
Idiomatic C# API Frontend for Polars DataFrame library.
Package Description
A long description to explain the package
Idiomatic F# API for Polars DataFrame library with strict type safety and pipeline support.
Converts collections from and to: DataFrames, DataTables, List, TabularDataResource, Save collection as excel file.