Parquet.Net 3.9.0

.NET 5.0 .NET Core 2.1 .NET Standard 1.4
There is a newer version of this package available.
See the version list below for details.
dotnet add package Parquet.Net --version 3.9.0
NuGet\Install-Package Parquet.Net -Version 3.9.0
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="Parquet.Net" Version="3.9.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Parquet.Net --version 3.9.0
#r "nuget: Parquet.Net, 3.9.0"
#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.
// Install Parquet.Net as a Cake Addin
#addin nuget:?package=Parquet.Net&version=3.9.0

// Install Parquet.Net as a Cake Tool
#tool nuget:?package=Parquet.Net&version=3.9.0

Pure managed .NET library to read and write Apache Parquet files, targeting .NET Standand 1.4 and up.

Linux, Windows and Mac are first class citizens, but also works everywhere .NET is running (Android, iOS, IOT). Has zero dependencies on thrid-party libraries or any native code. Provides both low-level access to Apache Parquet files, and high-level utilities for more traditional and humanly understandable row-based access. Includes automatic serializer/deserializer from C# classes into parquet files that works by generating MSIL (bytecode) on the fly and is therefore super fast.

Product Versions
.NET net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-windows
.NET Core netcoreapp1.0 netcoreapp1.1 netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1
.NET Standard netstandard1.4 netstandard1.5 netstandard1.6 netstandard2.0 netstandard2.1
.NET Framework net461 net462 net463 net47 net471 net472 net48 net481
MonoAndroid monoandroid
MonoMac monomac
MonoTouch monotouch
Tizen tizen30 tizen40 tizen60
Universal Windows Platform uap uap10.0
Xamarin.iOS xamarinios
Xamarin.Mac xamarinmac
Xamarin.TVOS xamarintvos
Xamarin.WatchOS xamarinwatchos
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (20)

Showing the top 5 NuGet packages that depend on Parquet.Net:

Package Downloads
Microsoft.DataPrep The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

Microsoft Azure Machine Learning Data Preparation SDK.

ChoETL.Parquet The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

Parquet extension to Cinchoo ETL framework

Komodo.Core

Komodo core libraries for crawling (file, object, web, database), parsing (JSON, XML, SQL, Sqlite, HTML, text), postings (inverted index, token extraction), indexing (search), metadata generation, and integrating within your application. Komodo is an information search, metadata, storage, and retrieval platform.

DataFrame.Math

A suite of libraries to provide stats functionality in dotnet for parquet and other formats

Microsoft.ML.Parquet The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

ML.NET components for Apache Parquet support.

GitHub repositories (5)

Showing the top 5 popular GitHub repositories that depend on Parquet.Net:

Repository Stars
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
ravendb/ravendb
ACID Document Database
Cinchoo/ChoETL
ETL framework for .NET (Parser / Writer for CSV, Flat, Xml, JSON, Key-Value, Parquet, Yaml, Avro formatted files)
mukunku/ParquetViewer
Simple windows desktop application for viewing & querying Apache Parquet files
compomics/ThermoRawFileParser
Thermo RAW file parser that runs on Linux/Mac and all other platforms that support Mono
Version Downloads Last updated
4.6.1 119 3/23/2023
4.6.0 525 3/21/2023
4.5.4 8,917 2/23/2023
4.5.3 832 2/22/2023
4.5.2 722 2/20/2023
4.5.1 1,395 2/14/2023
4.5.0 532 2/13/2023
4.4.7 3,317 2/8/2023
4.4.6 7,740 1/31/2023
4.4.5 583 1/30/2023
4.4.4 522 1/27/2023
4.4.3 381 1/26/2023
4.4.2 157 1/26/2023
4.4.1 402 1/25/2023
4.4.0 557 1/24/2023
4.3.4 316 1/23/2023
4.3.3 561 1/20/2023
4.3.2 314 1/19/2023
4.3.1 168 1/19/2023
4.3.0 850 1/18/2023
4.2.3 1,108 1/16/2023
4.2.2 1,949 1/11/2023
4.2.1 2,255 1/10/2023
4.2.0 181 1/10/2023
4.1.3 27,363 12/21/2022
4.1.2 9,833 12/1/2022
4.1.1 36,987 11/10/2022
4.1.0 40,018 10/13/2022
4.0.2 4,790 10/12/2022
4.0.1 2,487 10/11/2022
4.0.0 23,153 9/22/2022
3.10.0 44,234 9/20/2022
3.9.1 726,417 10/14/2021
3.9.0 227,972 6/25/2021
3.8.6 255,775 3/5/2021
3.8.5 18,784 2/23/2021
3.8.4 146,503 12/13/2020
3.8.3 777 12/10/2020
3.8.2 396 12/10/2020
3.8.1 25,363 11/6/2020
3.8.0 2,076 11/6/2020
3.7.7 247,751 6/25/2020
3.7.6 18,857 6/16/2020
3.7.5 11,661 6/8/2020
3.7.4 93,977 5/19/2020
3.7.2 1,976 5/18/2020
3.7.1 43,590 4/21/2020
3.7.0 27,834 4/19/2020
3.6.0 3,766,004 1/23/2020
3.5.3 10,739 1/8/2020
3.5.2 1,876 1/3/2020
3.5.1 661 12/31/2019
3.5.0 6,273 12/18/2019
3.4.3 5,312 12/16/2019
3.4.2 1,727 12/13/2019
3.4.1 606 12/11/2019
3.4.0 665 12/11/2019
3.3.11 4,941 12/1/2019
3.3.10 24,083 11/6/2019
3.3.9 176,200 8/15/2019
3.3.8 6,927 8/1/2019
3.3.7 564 8/1/2019
3.3.6 624 7/31/2019
3.3.5 22,927 7/5/2019
3.3.4 145,467 3/11/2019
3.3.3 18,381 2/1/2019
3.3.2 23,106 1/21/2019
3.3.1 2,910 1/14/2019
3.3.0 1,699 1/11/2019
3.2.6 1,202 1/11/2019
3.2.5 2,979 1/3/2019
3.2.4 5,944 11/21/2018
3.2.3 23,096 11/7/2018
3.2.2 3,464 10/30/2018
3.2.1 882 10/30/2018
3.2.0 1,465 10/24/2018
3.1.4 945 10/15/2018
3.1.3 732 10/15/2018
3.1.2 24,024 10/11/2018
3.1.1 1,174 10/4/2018
3.1.0 1,021 10/3/2018
3.1.0-preview-390 569 10/3/2018
3.1.0-preview-373 805 10/2/2018
3.0.5 6,991 8/13/2018
3.0.4 939 7/25/2018
3.0.3 804 7/25/2018
3.0.2 1,277 7/24/2018
3.0.1 784 7/24/2018
3.0.0 1,545 7/19/2018
2.1.4 69,772 6/7/2018
2.1.3 246,959 3/30/2018
2.1.2 143,424 1/10/2018
2.1.1 58,884 12/1/2017
2.1.0 1,098 11/29/2017
2.0.1 875 11/27/2017
2.0.0 1,702 11/27/2017
1.5.1 1,619 11/14/2017
1.4.0 4,752 10/23/2017
1.3.0 3,690 9/12/2017
1.2.139 1,940 9/6/2017
1.1.128 1,553 8/15/2017
1.0.114 1,021 7/31/2017