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 Microsoft.Data.Analysis 0.23.0

Prefix Reserved
There is a newer prerelease version of this package available.
See the version list below for details. 
dotnet add package Microsoft.Data.Analysis --version 0.23.0
 
 
NuGet\Install-Package Microsoft.Data.Analysis -Version 0.23.0
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="Microsoft.Data.Analysis" Version="0.23.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="Microsoft.Data.Analysis" Version="0.23.0" />
 


 Directory.Packages.props
 

 

 
<PackageReference Include="Microsoft.Data.Analysis" />
 


 Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add Microsoft.Data.Analysis --version 0.23.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support. 
#r "nuget: Microsoft.Data.Analysis, 0.23.0"
#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. 
#:package Microsoft.Data.Analysis@0.23.0
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=Microsoft.Data.Analysis&version=0.23.0
 


 Install as a Cake Addin
 

 

 
#tool nuget:?package=Microsoft.Data.Analysis&version=0.23.0
 


 Install as a Cake Tool
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

This package contains easy-to-use and high-performance libraries for data analysis and transformation.

Product Versions Compatible and additional computed target framework versions.
.NET net5.0 net5.0 was computed.  net5.0-windows net5.0-windows was computed.  net6.0 net6.0 was computed.  net6.0-android net6.0-android was computed.  net6.0-ios net6.0-ios was computed.  net6.0-maccatalyst net6.0-maccatalyst was computed.  net6.0-macos net6.0-macos was computed.  net6.0-tvos net6.0-tvos was computed.  net6.0-windows net6.0-windows was computed.  net7.0 net7.0 was computed.  net7.0-android net7.0-android was computed.  net7.0-ios net7.0-ios was computed.  net7.0-maccatalyst net7.0-maccatalyst was computed.  net7.0-macos net7.0-macos was computed.  net7.0-tvos net7.0-tvos was computed.  net7.0-windows net7.0-windows was computed.  net8.0 net8.0 is compatible.  net8.0-android net8.0-android was computed.  net8.0-browser net8.0-browser was computed.  net8.0-ios net8.0-ios was computed.  net8.0-maccatalyst net8.0-maccatalyst was computed.  net8.0-macos net8.0-macos was computed.  net8.0-tvos net8.0-tvos was computed.  net8.0-windows net8.0-windows was computed.  net9.0 net9.0 was computed.  net9.0-android net9.0-android was computed.  net9.0-browser net9.0-browser was computed.  net9.0-ios net9.0-ios was computed.  net9.0-maccatalyst net9.0-maccatalyst was computed.  net9.0-macos net9.0-macos was computed.  net9.0-tvos net9.0-tvos was computed.  net9.0-windows net9.0-windows was computed.  net10.0 net10.0 was computed.  net10.0-android net10.0-android was computed.  net10.0-browser net10.0-browser was computed.  net10.0-ios net10.0-ios was computed.  net10.0-maccatalyst net10.0-maccatalyst was computed.  net10.0-macos net10.0-macos was computed.  net10.0-tvos net10.0-tvos was computed.  net10.0-windows net10.0-windows was computed. 
.NET Core netcoreapp2.0 netcoreapp2.0 was computed.  netcoreapp2.1 netcoreapp2.1 was computed.  netcoreapp2.2 netcoreapp2.2 was computed.  netcoreapp3.0 netcoreapp3.0 was computed.  netcoreapp3.1 netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 netstandard2.0 is compatible.  netstandard2.1 netstandard2.1 was computed. 
.NET Framework net461 net461 was computed.  net462 net462 was computed.  net463 net463 was computed.  net47 net47 was computed.  net471 net471 was computed.  net472 net472 was computed.  net48 net48 was computed.  net481 net481 was computed. 
MonoAndroid monoandroid monoandroid was computed. 
MonoMac monomac monomac was computed. 
MonoTouch monotouch monotouch was computed. 
Tizen tizen40 tizen40 was computed.  tizen60 tizen60 was computed. 
Xamarin.iOS xamarinios xamarinios was computed. 
Xamarin.Mac xamarinmac xamarinmac was computed. 
Xamarin.TVOS xamarintvos xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (44)

Showing the top 5 NuGet packages that depend on Microsoft.Data.Analysis:

Package Downloads
Microsoft.Spark

.NET for Apache Spark
FenixAlliance.ACL.Dependencies

Application Component for the Alliance Business Suite.
Betalgo.OpenAI.Utilities

Utility tools for Betalgo.OpenAI - Dotnet SDK for OpenAI ChatGPT, Whisper, GPT-4 and DALL·E
ETLBox.Analysis

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/
ParquetSharp.DataFrame

ParquetSharp.DataFrame is a .NET library for reading and writing Apache Parquet files into/from .NET DataFrames, using ParquetSharp.

GitHub repositories (7)

Showing the top 7 popular GitHub repositories that depend on Microsoft.Data.Analysis:

Repository Stars
dotnet/interactive
.NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.
betalgo/openai
.NET library for the OpenAI service API by Betalgo Ranul
dotnet/spark
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
dotnet/dotnet
Home of .NET's Virtual Monolithic Repository which includes all the code needed to build the .NET SDK.
swharden/Csharp-Data-Visualization
Resources for visualizing data using C# and the .NET platform
aloneguid/parquet-dotnet
Fully managed Apache Parquet implementation
jdermody/brightwire
Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)
Version Downloads Last Updated
0.24.0-preview.26160.2 449 3/12/2026
0.23.0 161,215 11/11/2025
0.23.0-preview.25527.5 427 10/29/2025
0.23.0-preview.25503.2 432 10/3/2025
0.23.0-preview.25373.1 4,989 7/28/2025
0.23.0-preview.1.25127.4 2,562 2/28/2025
0.23.0-preview.1.25125.4 247 2/25/2025
0.22.3 38,300 10/28/2025
0.22.2 311,101 2/26/2025
0.22.1 81,190 1/15/2025
0.22.0 226,166 11/13/2024
0.22.0-preview.24522.7 941 10/23/2024
0.22.0-preview.24378.1 1,506 7/29/2024
0.22.0-preview.24271.1 996 5/21/2024
0.22.0-preview.24162.2 3,697 3/13/2024
0.21.1 2,734,254 1/18/2024
0.21.0 1,848,572 11/27/2023
0.21.0-preview.23511.1 2,280 10/13/2023
0.21.0-preview.23266.6 6,338 5/17/2023
0.20.1 2,626,447 2/1/2023
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Initial preview of robust and extensible types and algorithms for manipulating structured data that supports aggregations, statistical funtions, sorting, grouping, joins, merges, handling missing values and more.