Parquet.Net 5.0.2-pre.1

.NET 6.0 This package targets .NET 6.0. The package is compatible with this framework or higher. .NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher.
This is a prerelease version of Parquet.Net.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package Parquet.Net --version 5.0.2-pre.1                

                    
                

            
NuGet\Install-Package Parquet.Net -Version 5.0.2-pre.1
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="5.0.2-pre.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Parquet.Net --version 5.0.2-pre.1                

                    
                

            
#r "nuget: Parquet.Net, 5.0.2-pre.1"
#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=5.0.2-pre.1&prerelease

// Install Parquet.Net as a Cake Tool
#tool nuget:?package=Parquet.Net&version=5.0.2-pre.1&prerelease

Apache Parquet for .NET

NuGet NuGet Version Nuget GitHub code size in bytes GitHub repo size GitHub forks

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Fully managed, safe, extremely fast .NET library to 📖read and ✍️write Apache Parquet files designed for .NET world (not a wrapper). Targets .NET 8, .NET 7, .NET 6.0, .NET Core 3.1, .NET Standard 2.1 and .NET Standard 2.0.

Whether you want to build apps for Linux, MacOS, Windows, iOS, Android, Tizen, Xbox, PS4, Raspberry Pi, Samsung TVs or much more, Parquet.Net has you covered.

Features at a glance

  • 0️⃣ Has zero dependencies - pure library that just works anywhere .NET works i.e. desktops, servers, phones, watches and so on.
  • 🚀Really fast. Faster than Python and Java, and alternative C# implementations out there. It's often even faster than native C++ implementations.
  • 🏠NET native. Designed to utilise .NET and made for .NET developers, not the other way around.
  • ❤️‍🩹Not a "wrapper" that forces you to fit in. It's the other way around - forces parquet to fit into .NET.
  • 🦄Unique Features:

UI

This repository now includes an implementation of parquet desktop viewer application called Floor (parquet floor, get it?). It's cross-platform, self-contained executable made with Avalonia, and is compiled for Linux, Windows and MacOS.

alternate text is missing from this package README image

Floor is not meant to be the best parquet viewer on the planet, but just a reference implementation. There are probably better, more feature-rich applications out there.

Installing

Download it from the releases section. On Windows, you can install it with winget - winget install aloneguid.ParquetDotnet.floor.

Used by

...raise a PR to appear here...

Contributing

See the contribution page. The first important thing you can do is simply star ⭐ this project.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 is compatible.  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 is compatible.  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.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-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 is compatible. 
.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. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (31)

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

Package Downloads
ChoETL.Parquet

Parquet extension to Cinchoo ETL framework
Microsoft.DataPrep

Microsoft Azure Machine Learning Data Preparation SDK.
ETLBox.Parquet

This is the Parquet connector for ETLBox. It lets you handle Parquet files, offering an efficient way to process columnar 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/
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.
PCAxis.Serializers

Paxiom serializers for formats like Excel, jsonstat, jsonstat2, sdmx

GitHub repositories (8)

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
mukunku/ParquetViewer
Simple Windows desktop application for viewing & querying Apache Parquet files
Cinchoo/ChoETL
ETL framework for .NET (Parser / Writer for CSV, Flat, Xml, JSON, Key-Value, Parquet, Yaml, Avro formatted files)
compomics/ThermoRawFileParser
Thermo RAW file parser that runs on Linux/Mac and all other platforms that support Mono
Version Downloads Last updated
5.1.1 37,300 24 days ago
5.1.1-pre.3 131 25 days ago
5.1.1-pre.2 609 2 months ago
5.1.1-pre.1 88 2 months ago
5.1.0 77,710 2 months ago
5.1.0-pre.1 69 2 months ago
5.0.3-pre.3 1,900 4 months ago
5.0.3-pre.2 113 4 months ago
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5.0.2 268,142 4 months ago
5.0.2-pre.2 589 4 months ago
5.0.2-pre.1 97 4 months ago
5.0.1 169,067 5 months ago
5.0.1-pre.1 1,853 6 months ago
5.0.0 38,880 6 months ago
5.0.0-pre.4 76 6 months ago
5.0.0-pre.3 69 6 months ago
5.0.0-pre.2 1,061 6 months ago
5.0.0-pre.1 145 6 months ago
4.25.0 189,087 6 months ago
4.25.0-pre.3 154 7 months ago
4.25.0-pre.2 3,632 9 months ago
4.25.0-pre.1 114 10 months ago
4.24.0 486,578 10 months ago
4.24.0-pre.8 82 10 months ago
4.24.0-pre.7 87 10 months ago
4.24.0-pre.6 86 10 months ago
4.24.0-pre.5 66 10 months ago
4.24.0-pre.4 96 10 months ago
4.24.0-pre.3 83 10 months ago
4.24.0-pre.2 1,791 10 months ago
4.24.0-pre.1 128 5/22/2024
4.23.5 305,550 4/4/2024
4.23.4 617,715 2/2/2024
4.23.3 25,007 1/25/2024
4.23.2 11,285 1/22/2024
4.23.1 7,741 1/19/2024
4.23.0 2,884 1/18/2024
4.22.1 9,953 1/17/2024
4.22.0 64,321 1/11/2024
4.20.1 5,778 1/10/2024
4.20.0 14,851 1/8/2024
4.19.0 31,123 1/5/2024
4.18.1 14,195 12/31/2023
4.18.0 31,188 12/22/2023
4.17.0 328,639 11/14/2023
4.16.4 635,179 9/11/2023
4.16.3 32,392 9/4/2023
4.16.2 112,009 8/22/2023
4.16.1 4,248 8/21/2023
4.16.0 2,674 8/17/2023
4.15.0 163,327 6/30/2023
4.14.0 28,964 6/28/2023
4.13.0 92,846 6/20/2023
4.12.0 139,345 5/22/2023
4.11.3 12,199 5/18/2023
4.11.2 57,358 5/16/2023
4.11.1 38,388 5/10/2023
4.11.0 5,058 5/9/2023
4.10.1 45,412 5/2/2023
4.10.0 33,214 4/26/2023
4.9.2 2,902 4/25/2023
4.9.1 3,460 4/21/2023
4.9.0 2,233 4/21/2023
4.8.1 12,075 4/19/2023
4.8.0 2,566 4/18/2023
4.8.0-alpha-00 1,569 4/17/2023
4.7.1 6,894 4/14/2023
4.7.0 7,435 4/13/2023
4.6.2 75,307 3/28/2023
4.6.1 8,466 3/23/2023
4.6.0 12,681 3/21/2023
4.5.4 348,274 2/23/2023
4.5.3 18,209 2/22/2023
4.5.2 12,190 2/20/2023
4.5.1 9,456 2/14/2023
4.5.0 9,419 2/13/2023
4.4.7 15,242 2/8/2023
4.4.6 50,630 1/31/2023
4.4.5 3,418 1/30/2023
4.4.4 2,624 1/27/2023
4.4.3 3,673 1/26/2023
4.4.2 1,756 1/26/2023
4.4.1 2,279 1/25/2023
4.4.0 3,263 1/24/2023
4.3.4 1,996 1/23/2023
4.3.3 2,180 1/20/2023
4.3.2 2,089 1/19/2023
4.3.1 1,723 1/19/2023
4.3.0 2,875 1/18/2023
4.2.3 7,447 1/16/2023
4.2.2 10,246 1/11/2023
4.2.1 7,750 1/10/2023
4.2.0 1,992 1/10/2023
4.1.3 67,075 12/21/2022
4.1.2 31,997 12/1/2022
4.1.1 120,623 11/10/2022
4.1.0 315,729 10/13/2022
4.0.2 10,660 10/12/2022
4.0.1 43,401 10/11/2022
4.0.0 62,157 9/22/2022
3.10.0 363,025 9/20/2022
3.9.1 1,637,322 10/14/2021
3.9.0 387,624 6/25/2021
3.8.6 500,369 3/5/2021
3.8.5 26,564 2/23/2021
3.8.4 296,958 12/13/2020
3.8.3 2,429 12/10/2020
3.8.2 2,000 12/10/2020
3.8.1 32,263 11/6/2020
3.8.0 4,412 11/6/2020
3.7.7 337,000 6/25/2020
3.7.6 26,449 6/16/2020
3.7.5 14,582 6/8/2020
3.7.4 198,370 5/19/2020
3.7.2 3,933 5/18/2020
3.7.1 49,005 4/21/2020
3.7.0 66,522 4/19/2020
3.6.0 5,544,753 1/23/2020
3.5.3 15,768 1/8/2020
3.5.2 3,567 1/3/2020
3.5.1 2,282 12/31/2019
3.5.0 11,823 12/18/2019
3.4.3 7,452 12/16/2019
3.4.2 3,820 12/13/2019
3.4.1 2,231 12/11/2019
3.4.0 3,136 12/11/2019
3.3.11 6,940 12/1/2019
3.3.10 56,008 11/6/2019
3.3.9 190,316 8/15/2019
3.3.8 8,833 8/1/2019
3.3.7 2,201 8/1/2019
3.3.6 2,325 7/31/2019
3.3.5 35,664 7/5/2019
3.3.4 191,617 3/11/2019
3.3.3 20,701 2/1/2019
3.3.2 26,860 1/21/2019
3.3.1 4,636 1/14/2019
3.3.0 3,824 1/11/2019
3.2.6 2,937 1/11/2019
3.2.5 4,588 1/3/2019
3.2.4 12,208 11/21/2018
3.2.3 59,149 11/7/2018
3.2.2 5,426 10/30/2018
3.2.1 2,521 10/30/2018
3.2.0 3,227 10/24/2018
3.1.4 2,560 10/15/2018
3.1.3 2,448 10/15/2018
3.1.2 49,356 10/11/2018
3.1.1 2,910 10/4/2018
3.1.0 2,909 10/3/2018
3.1.0-preview-390 2,117 10/3/2018
3.1.0-preview-373 2,381 10/2/2018
3.0.5 9,207 8/13/2018
3.0.4 2,607 7/25/2018
3.0.3 2,464 7/25/2018
3.0.2 2,920 7/24/2018
3.0.1 2,459 7/24/2018
3.0.0 3,486 7/19/2018
2.1.4 100,677 6/7/2018
2.1.3 262,997 3/30/2018
2.1.2 452,018 1/10/2018
2.1.1 127,465 12/1/2017
2.1.0 2,837 11/29/2017
2.0.1 2,614 11/27/2017
2.0.0 3,558 11/27/2017
1.5.1 3,437 11/14/2017
1.4.0 6,786 10/23/2017
1.3.0 5,464 9/12/2017
1.2.139 3,540 9/6/2017
1.1.128 3,407 8/15/2017
1.0.114 2,784 7/31/2017