Microsoft.Data.Analysis
0.20.0-preview.22313.1
Prefix Reserved
See the version list below for details.
dotnet add package Microsoft.Data.Analysis --version 0.20.0-preview.22313.1
NuGet\Install-Package Microsoft.Data.Analysis -Version 0.20.0-preview.22313.1
<PackageReference Include="Microsoft.Data.Analysis" Version="0.20.0-preview.22313.1" />
paket add Microsoft.Data.Analysis --version 0.20.0-preview.22313.1
#r "nuget: Microsoft.Data.Analysis, 0.20.0-preview.22313.1"
// Install Microsoft.Data.Analysis as a Cake Addin #addin nuget:?package=Microsoft.Data.Analysis&version=0.20.0-preview.22313.1&prerelease // Install Microsoft.Data.Analysis as a Cake Tool #tool nuget:?package=Microsoft.Data.Analysis&version=0.20.0-preview.22313.1&prerelease
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 was computed. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. |
.NET Core | netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
.NET Standard | netstandard2.0 is compatible. netstandard2.1 was computed. |
.NET Framework | net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
MonoAndroid | monoandroid was computed. |
MonoMac | monomac was computed. |
MonoTouch | monotouch was computed. |
Tizen | tizen40 was computed. tizen60 was computed. |
Xamarin.iOS | xamarinios was computed. |
Xamarin.Mac | xamarinmac was computed. |
Xamarin.TVOS | xamarintvos was computed. |
Xamarin.WatchOS | xamarinwatchos was computed. |
-
.NETStandard 2.0
- Apache.Arrow (>= 2.0.0)
- Microsoft.ML.DataView (>= 2.0.0-preview.22313.1)
- System.Buffers (>= 4.5.0)
- System.Memory (>= 4.5.3)
- System.Runtime.CompilerServices.Unsafe (>= 6.0.0)
NuGet packages (29)
Showing the top 5 NuGet packages that depend on Microsoft.Data.Analysis:
Package | Downloads |
---|---|
Microsoft.Spark
.NET for Apache Spark |
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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 |
|
ParquetSharp.DataFrame
ParquetSharp.DataFrame is a .NET library for reading and writing Apache Parquet files into/from .NET DataFrames, using ParquetSharp. |
|
RCS.Carbon.TableOutput.DataFrame
Experimental DataFrame table output library. |
GitHub repositories (7)
Showing the top 5 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
|
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dotnet/spark
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
|
|
swharden/Csharp-Data-Visualization
Resources for visualizing data using C# and the .NET platform
|
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aloneguid/parquet-dotnet
Fully managed Apache Parquet implementation
|
Version | Downloads | Last updated |
---|---|---|
0.22.0 | 1,449 | 11/13/2024 |
0.22.0-preview.24522.7 | 308 | 10/23/2024 |
0.22.0-preview.24378.1 | 658 | 7/29/2024 |
0.22.0-preview.24271.1 | 735 | 5/21/2024 |
0.22.0-preview.24162.2 | 861 | 3/13/2024 |
0.21.1 | 620,319 | 1/18/2024 |
0.21.0 | 853,468 | 11/27/2023 |
0.21.0-preview.23511.1 | 2,124 | 10/13/2023 |
0.21.0-preview.23266.6 | 4,677 | 5/17/2023 |
0.21.0-preview.22621.2 | 4,575 | 12/22/2022 |
0.20.1 | 1,642,466 | 2/1/2023 |
0.20.1-preview.22573.9 | 493 | 11/24/2022 |
0.20.0 | 51,268 | 11/8/2022 |
0.20.0-preview.22551.1 | 263 | 11/1/2022 |
0.20.0-preview.22313.1 | 1,979 | 6/14/2022 |
0.19.1 | 712,463 | 3/9/2022 |
0.19.0 | 95,435 | 11/9/2021 |
0.19.0-preview.final | 359 | 10/22/2021 |
0.18.0 | 287,299 | 7/15/2021 |
0.4.0 | 613,480 | 5/20/2020 |
0.3.0 | 22,846 | 3/24/2020 |
0.2.0 | 15,431 | 12/12/2019 |
0.1.0 | 20,112 | 11/11/2019 |
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.