Parquet.Net 4.25.0-pre.3

.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There is a newer version of this package available.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 4.25.0-pre.3
                    


                    

                
NuGet\Install-Package Parquet.Net -Version 4.25.0-pre.3
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="4.25.0-pre.3" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="Parquet.Net" Version="4.25.0-pre.3" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="Parquet.Net" />
                    


                            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 Parquet.Net --version 4.25.0-pre.3
                    


                    

                
#r "nuget: Parquet.Net, 4.25.0-pre.3"
#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. 
#addin nuget:?package=Parquet.Net&version=4.25.0-pre.3&prerelease
                    


                            Install Parquet.Net as a Cake Addin
                        

                    

                
#tool nuget:?package=Parquet.Net&version=4.25.0-pre.3&prerelease
                    


                            Install Parquet.Net as a Cake Tool

Apache Parquet for .NET

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

Icon

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. You can download it from the releases section.

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.

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 (34)

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 8 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
G-Research/ParquetSharp
ParquetSharp is a .NET library for reading and writing Apache Parquet files.
AzureCosmosDB/data-migration-desktop-tool
jdermody/brightwire
Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)
Version Downloads Last updated
5.1.1 91,057 2 months ago
5.1.1-pre.3 188 2 months ago
5.1.1-pre.2 708 2 months ago
5.1.1-pre.1 93 2 months ago
5.1.0 94,773 2 months ago
5.1.0-pre.1 74 2 months ago
5.0.3-pre.3 2,132 4 months ago
5.0.3-pre.2 131 4 months ago
5.0.3-pre.1 228 5 months ago
5.0.2 319,660 5 months ago
5.0.2-pre.2 601 5 months ago
5.0.2-pre.1 99 5 months ago
5.0.1 187,091 6 months ago
5.0.1-pre.1 1,950 6 months ago
5.0.0 41,924 6 months ago
5.0.0-pre.4 77 6 months ago
5.0.0-pre.3 70 6 months ago
5.0.0-pre.2 1,118 6 months ago
5.0.0-pre.1 146 7 months ago
4.25.0 205,701 7 months ago
4.25.0-pre.3 155 7 months ago
4.25.0-pre.2 3,881 6/11/2024
4.25.0-pre.1 114 6/7/2024
4.24.0 522,225 6/6/2024
4.24.0-pre.8 82 6/4/2024
4.24.0-pre.7 87 6/4/2024
4.24.0-pre.6 86 6/3/2024
4.24.0-pre.5 66 6/3/2024
4.24.0-pre.4 96 5/31/2024
4.24.0-pre.3 84 5/31/2024
4.24.0-pre.2 1,995 5/28/2024
4.24.0-pre.1 130 5/22/2024
4.23.5 319,230 4/4/2024
4.23.4 648,467 2/2/2024
4.23.3 25,960 1/25/2024
4.23.2 11,446 1/22/2024
4.23.1 7,863 1/19/2024
4.23.0 2,943 1/18/2024
4.22.1 10,094 1/17/2024
4.22.0 65,292 1/11/2024
4.20.1 5,884 1/10/2024
4.20.0 15,779 1/8/2024
4.19.0 32,077 1/5/2024
4.18.1 14,958 12/31/2023
4.18.0 32,882 12/22/2023
4.17.0 332,939 11/14/2023
4.16.4 660,884 9/11/2023
4.16.3 33,873 9/4/2023
4.16.2 114,633 8/22/2023
4.16.1 4,266 8/21/2023
4.16.0 2,691 8/17/2023
4.15.0 165,336 6/30/2023
4.14.0 29,067 6/28/2023
4.13.0 93,573 6/20/2023
4.12.0 140,560 5/22/2023
4.11.3 12,452 5/18/2023
4.11.2 57,554 5/16/2023
4.11.1 39,111 5/10/2023
4.11.0 5,093 5/9/2023
4.10.1 46,639 5/2/2023
4.10.0 33,574 4/26/2023
4.9.2 2,924 4/25/2023
4.9.1 3,490 4/21/2023
4.9.0 2,254 4/21/2023
4.8.1 12,734 4/19/2023
4.8.0 2,587 4/18/2023
4.8.0-alpha-00 1,570 4/17/2023
4.7.1 7,041 4/14/2023
4.7.0 7,456 4/13/2023
4.6.2 76,298 3/28/2023
4.6.1 8,949 3/23/2023
4.6.0 12,705 3/21/2023
4.5.4 352,012 2/23/2023
4.5.3 18,482 2/22/2023
4.5.2 12,380 2/20/2023
4.5.1 9,663 2/14/2023
4.5.0 9,747 2/13/2023
4.4.7 15,356 2/8/2023
4.4.6 51,024 1/31/2023
4.4.5 3,429 1/30/2023
4.4.4 2,666 1/27/2023
4.4.3 3,794 1/26/2023
4.4.2 1,757 1/26/2023
4.4.1 2,299 1/25/2023
4.4.0 3,308 1/24/2023
4.3.4 1,998 1/23/2023
4.3.3 2,181 1/20/2023
4.3.2 2,093 1/19/2023
4.3.1 1,724 1/19/2023
4.3.0 2,882 1/18/2023
4.2.3 7,706 1/16/2023
4.2.2 10,254 1/11/2023
4.2.1 7,946 1/10/2023
4.2.0 1,994 1/10/2023
4.1.3 67,488 12/21/2022
4.1.2 32,386 12/1/2022
4.1.1 121,193 11/10/2022
4.1.0 328,468 10/13/2022
4.0.2 10,669 10/12/2022
4.0.1 47,026 10/11/2022
4.0.0 62,990 9/22/2022
3.10.0 374,790 9/20/2022
3.9.1 1,661,657 10/14/2021
3.9.0 390,536 6/25/2021
3.8.6 507,907 3/5/2021
3.8.5 26,606 2/23/2021
3.8.4 301,450 12/13/2020
3.8.3 2,438 12/10/2020
3.8.2 2,008 12/10/2020
3.8.1 32,414 11/6/2020
3.8.0 4,429 11/6/2020
3.7.7 338,229 6/25/2020
3.7.6 26,686 6/16/2020
3.7.5 14,630 6/8/2020
3.7.4 200,509 5/19/2020
3.7.2 3,940 5/18/2020
3.7.1 49,038 4/21/2020
3.7.0 67,955 4/19/2020
3.6.0 5,586,075 1/23/2020
3.5.3 16,066 1/8/2020
3.5.2 3,576 1/3/2020
3.5.1 2,289 12/31/2019
3.5.0 12,137 12/18/2019
3.4.3 7,470 12/16/2019
3.4.2 3,827 12/13/2019
3.4.1 2,238 12/11/2019
3.4.0 3,159 12/11/2019
3.3.11 6,950 12/1/2019
3.3.10 57,271 11/6/2019
3.3.9 190,657 8/15/2019
3.3.8 8,843 8/1/2019
3.3.7 2,208 8/1/2019
3.3.6 2,334 7/31/2019
3.3.5 36,069 7/5/2019
3.3.4 192,554 3/11/2019
3.3.3 20,742 2/1/2019
3.3.2 26,911 1/21/2019
3.3.1 4,644 1/14/2019
3.3.0 3,846 1/11/2019
3.2.6 2,945 1/11/2019
3.2.5 4,596 1/3/2019
3.2.4 12,408 11/21/2018
3.2.3 59,862 11/7/2018
3.2.2 5,433 10/30/2018
3.2.1 2,534 10/30/2018
3.2.0 3,237 10/24/2018
3.1.4 2,568 10/15/2018
3.1.3 2,455 10/15/2018
3.1.2 49,609 10/11/2018
3.1.1 2,917 10/4/2018
3.1.0 2,917 10/3/2018
3.1.0-preview-390 2,124 10/3/2018
3.1.0-preview-373 2,388 10/2/2018
3.0.5 9,226 8/13/2018
3.0.4 2,620 7/25/2018
3.0.3 2,478 7/25/2018
3.0.2 2,933 7/24/2018
3.0.1 2,473 7/24/2018
3.0.0 3,527 7/19/2018
2.1.4 101,494 6/7/2018
2.1.3 263,287 3/30/2018
2.1.2 453,380 1/10/2018
2.1.1 128,741 12/1/2017
2.1.0 2,849 11/29/2017
2.0.1 2,626 11/27/2017
2.0.0 3,578 11/27/2017
1.5.1 3,451 11/14/2017
1.4.0 6,799 10/23/2017
1.3.0 5,477 9/12/2017
1.2.139 3,553 9/6/2017
1.1.128 3,421 8/15/2017
1.0.114 2,798 7/31/2017